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For each peak, I would like to calculate the delta (shown in image) for the plot in the script at each threshold level in a table.
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%Question Continued: I need a sum of all deltas at each threshold level in
%a 7 x 2 table . I tried this code but it gives me an error. Do not know
%where the fault is.
Thresholds = 30:20:150;
X = 0:0.01:1;
Strain = [36 63 73 92 184 45 157 123]';
Threshold = 1:0.5:4;
Y = Strain.*sin(pi*X);
figure
plot(X,Y)
yline(Thresholds,'-r')
ylabel('Strain')
xlabel('time(s)')

X = X(:).'; % Data Must Be Row Vectors
Y = Y(:).'; % Data Must Be Row Vectors
[pks,plocs] = findpeaks(Y);
[vys,vlocs] = findpeaks(-Y);
vlocs = unique([1 vlocs numel(Y)]);
for i = 1:numel(vlocs)-1
idx = vlocs(i) : vlocs(i+1);
[Width(i,:),Results{i}] = interpStrain(X(idx), Y(idx), Thresholds); % Calculates the widths based on function interStrain.
Strain_Width_Table = Results{i};
end
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Index exceeds the number of array elements. Index must not exceed 101.
function [Width,TW] = interpStrain(X,Y,Thresholds)
Thresholds = Thresholds(:);
Xend = numel(X);
for i = 1:numel(Thresholds)
fprintf(repmat('-',1,20))
idx1 = find(diff(sign(Y-Thresholds(i))));
idx = [min(idx1) max(idx1)];
if ~isempty(idx)
for j = 1:numel(idx)
idxrng = max(1,idx(j)-1) : min(Xend,idx(j)+1);
xval(i,j) = interp1(Y(idxrng), X(idxrng), Thresholds(i));
end
else
xval(i,:) = [0 0];
end
Width(i,:) = diff(xval(i,:));
end
% Final = Width';
TW = table(Thresholds,Width);
end

Accepted Answer
Star Strider
on 2 Feb 2023
Try my code —
X = 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Y = [0.0237235890000000,0.0991239370000000,0.141935999000000,0.138421576000000,0.118613010000000,0.0837882730000000,0.0304329420000000,0.132351209000000,0.284429877000000,0.311906275000000,0.291458723000000,0.244812745000000,0.153757240000000,0.0623822420000000,0.429160206000000,0.599130482000000,0.599449975000000,0.558554871000000,0.467499366000000,0.170051383000000,0.0301134490000000,0.613827160000000,0.979327152000000,1.08060643300000,1.03204349700000,0.928847258000000,0.566542196000000,0.0186117010000000,0.479320607000000,1.02501465100000,1.26878781000000,1.24386735600000,1.15089489300000,0.785394901000000,0.130434251000000,0.102318867000000,0.879964829000000,1.36207976600000,1.44642591800000,1.37134506300000,1.10360992900000,0.463345957000000,0.728844640000000,1.42821481700000,1.69467197900000,1.64355309900000,1.46208107500000,0.874213955000000,0.389543074000000,1.36559418900000,1.85250152100000,1.88413132800000,1.77582320100000,1.30201508200000,0.368456536000000,1.09785905500000,1.85761340900000,2.08668989000000,2.00010728700000,1.68444820300000,0.862392714000000,0.694019903000000,1.71863395400000,2.20873621600000,2.20745824400000,2.02854216400000,1.35888483600000,0.186345526000000,0.205834599000000,1.40872574400000,2.18125981800000,2.38669381700000,2.27519076000000,1.79914619000000,0.760793940000000,0.953128726000000,2.00330221700000,2.48765360500000,2.44420255700000,2.17039705600000,1.31319733700000,0.399127864000000,1.67102949700000,2.42183804700000,2.56369293900000,2.43653472500000,1.81735729100000,0.598810989000000,1.17805179800000,2.20713875100000,2.64644162600000,2.57391671500000,2.20330483500000,1.19498492700000,0.550567546000000,1.86240580400000,2.57934809600000,2.66081881100000,2.48509766100000,1.74770781700000,0.419894909000000,1.35505092000000,2.34995212200000,2.71928603000000,2.62567458100000,2.15953429400000,1.05153257000000,0.776449097000000,2.02822267100000,2.66784765700000,2.69724101300000,2.46337213700000,1.62885642100000,0.239061871000000,0.146728394000000,1.53013308400000,2.45762126300000,2.75059634400000,2.63973227300000,2.08860684800000,0.892105563000000,0.956323656000000,2.15953429400000,2.72855132700000,2.71800805800000,2.42726942800000,1.49914226300000,0.0655771720000000,0.342577603000000,1.70010336000000,2.56560989700000,2.77104389600000,2.64356618900000,2.00234373800000,0.731081091000000,1.12916936900000,2.27135684400000,2.78190665800000,2.72631487600000,2.36496829300000,1.35441193400000,0.483793509000000,1.85761340900000,2.64292720300000,2.77391933300000,2.61193638200000,1.88477031400000,0.546733630000000,1.29434725000000,2.35602248900000,2.79564485700000,2.71800805800000,2.27710771800000,1.18635861600000,0.640984065000000,1.98125720000000,2.70363087300000,2.77455831900000,2.56209547400000,1.74738832400000,0.361747183000000,1.44674541100000,2.44707799400000,2.81705088800000,2.71641059300000,2.19180308700000,1.02309769300000,0.848974008000000,2.11736121800000,2.75379127400000,2.77232186800000,2.50490622700000,1.61511822200000,0.186026033000000,0.211265980000000,1.61671568700000,2.53589704800000,2.81737038100000,2.70075543600000,2.09627468000000,0.856002854000000,1.03172400400000,2.23493464200000,2.79915928000000,2.77615578400000,2.45314836100000,1.47422180900000,0.0157362640000000,0.390501553000000,1.77294776400000,2.63334241300000,2.81928733900000,2.67423751700000,1.98924452500000,0.687949536000000,1.21319602800000,2.34739617800000,2.83653996100000,2.77232186800000,2.37742852000000,1.31447530900000,0.528842022000000,1.94195956100000,2.72887082000000,2.84548576500000,2.66337475500000,1.87742197500000,0.505838526000000,1.36207976600000,2.45346785400000,2.88222746000000,2.79628384300000,2.30522310200000,1.15217286500000,0.724691231000000,2.08093901600000,2.80810508400000,2.86337737300000,2.62503559500000,1.74962477500000,0.324366502000000,0.0617432560000000,1.53907888800000,2.54164792200000,2.90299450500000,2.79883978700000,2.22215492200000,0.984758533000000,0.917345510000000,2.21065317400000,2.85379258300000,2.86114092200000,2.56784634800000,1.60776988300000,0.142255492000000,0.278040017000000,1.69339400700000,2.62631356700000,2.88286644600000,2.76593200800000,2.11001287900000,0.808078904000000,1.07996744700000,2.29340186100000,2.86816976800000,2.83685945400000,2.47902729400000,1.44035555100000,0.420853388000000,1.84036078700000,2.70650631000000,2.87967151600000,2.73046828500000,1.98828604600000,0.633955219000000,1.26399541500000,2.38733280300000,2.88733934800000,2.81737038100000,2.38893026800000,1.27805310700000,0.568459154000000,1.99467590600000,2.76976592400000,2.87104520500000,2.67583498200000,1.85537695800000,0.451205223000000,1.42054698500000,2.47870780100000,2.89820211000000,2.80778559100000,2.28605352200000,1.11095826800000,0.792104254000000,2.13046043100000,2.82631618500000,2.86657230300000,2.61896522800000,1.71416105200000,0.277081538000000,0.125322363000000,1.59179523300000,2.57807012400000,2.91321828100000,2.80554914000000,2.20106838400000,0.942904950000000,0.96622793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Strain = 1:0.5:2.5;
[pks,plocs] = findpeaks(Y);
[vys,vlocs] = findpeaks(-Y);
vlocs = [1 vlocs numel(Y)];
for k1 = 1:numel(vlocs)-1
idx = vlocs(k1) : vlocs(k1+1);
[Width(k1,:),Results{k1}] = interpStrain(X(idx), Y(idx), Strain, k1);
% figure
% plot(X(idx), Y(idx))
% yline(Strain, 'Color', 'r', 'LineWidth', 1);
% text(X(plocs(k1))*ones(size(Strain)),Strain, compose('\\Delta t = %.5f',Width(k1,:)), 'Horiz','center', 'Vert','middle', 'FontSize',9)
% xlabel('No. of Cycles');
% ylabel('Voltage [V]');
% title(sprintf('Peak #%3d',k1))
%
% fprintf('\nPeak #%3d —\n',k1)
Strain_Width_Table = Results{k1};
end
Cvert = cat(2,Results{:}) % Horizontally Copncatenate The Tables
RN = Cvert.Properties.RowNames; % Get 'RowNames'
SD = sum(table2array(Cvert),2); % Sum The Widths AT Each Strain Value
Sum_Deltas_Table = table(str2double(RN),SD, 'VariableNames',{'Strain','Sum_Deltas'}) % Create 'table' Of Summed Widths At Each Strain Value
figure
bar(Sum_Deltas_Table.Strain, Sum_Deltas_Table.Sum_Deltas)
grid
xlabel('Strain')
ylabel('\Sigma\Delta(t)')
% % Create scatter
% plot(X,Y,'DisplayName','Voltage',...
% 'Marker','NONE');
% % Create ylabel
% ylabel('Voltage [V]');
% xlabel('No. of Cycles');
%
%
%
% % Find the Given threshold Voltage
% yline(Strain, 'Color', 'r', 'LineWidth', 1);
function [Width,TW] = interpStrain(X,Y,Strain,k)
Strain = Strain(:);
Xend = numel(X);
for k1 = 1:numel(Strain)
% Q = Strain(k1)
idx = find(diff(sign(Y-Strain(k1))));
if ~isempty(idx)
for k2 = 1:numel(idx)
idxrng = max(1,idx(k2)-1) : min(Xend,idx(k2)+1);
xval(k1,k2) = interp1(Y(idxrng), X(idxrng), Strain(k1));
end
else
xval(k1,:) = [0 0];
end
Width(k1,:) = diff(xval(k1,:));
end
TW = table(Width, 'RowNames',compose('%.1f',Strain), 'VariableNames',{sprintf('Width_Peak_%03d',k)});
end
My code works.
.
4 Comments
Rufus Adjetey
on 2 Feb 2023
Thanks star. I wanted to try earlier but it said comment deleted.
However, I would like to try with a different data set.
A = 5000 random numbers between 70 and 200 to form the peaks
Strain = 50:30:170;
X = 0:0.01:1;
Y = A.*sin(pi*X);
Star Strider
on 3 Feb 2023
@Rufus Adjetey — With extremely rare exceptions, I delete my answers if they are not accepted.
It times-out (takes longer than the allowed 55 seconds here) for 5000, so I lowered it to 500. That is still more than adequate for a test, so long as the distribution is correct. Also, my original code was set up for actual data, so I had to kludge it to make it work with this synthetic data set. Use my original code or this version (whatever works best) for an actual data set.
One more opportunity —
% X = [0.0318400000000000,0.0368000000000000,0.0417600000000000,0.0467200000000000,0.0516800000000000,0.0566400000000000,0.0616000000000000,0.101280000000000,0.106240000000000,0.111200000000000,0.116160000000000,0.121120000000000,0.126080000000000,0.165760000000000,0.170720000000000,0.175680000000000,0.180640000000000,0.185600000000000,0.190560000000000,0.195520000000000,0.230240000000000,0.235200000000000,0.240160000000000,0.245120000000000,0.250080000000000,0.255040000000000,0.260000000000000,0.264960000000000,0.299680000000000,0.304640000000000,0.309600000000000,0.314560000000000,0.319520000000000,0.324480000000000,0.329440000000000,0.364160000000000,0.369120000000000,0.374080000000000,0.379040000000000,0.384000000000000,0.388960000000000,0.393920000000000,0.433600000000000,0.438560000000000,0.443520000000000,0.448480000000000,0.453440000000000,0.458400000000000,0.498080000000000,0.503040000000000,0.508000000000000,0.512960000000000,0.517920000000000,0.522880000000000,0.527840000000000,0.567520000000000,0.572480000000000,0.577440000000000,0.582400000000000,0.587360000000000,0.592320000000000,0.632000000000000,0.636960000000000,0.641920000000000,0.646880000000000,0.651840000000000,0.656800000000000,0.661760000000000,0.696480000000000,0.701440000000000,0.706400000000000,0.711360000000000,0.716320000000000,0.721280000000000,0.726240000000000,0.765920000000000,0.770880000000000,0.775840000000000,0.780800000000000,0.785760000000000,0.790720000000000,0.830400000000000,0.835360000000000,0.840320000000000,0.845280000000000,0.850240000000000,0.855200000000000,0.860160000000000,0.899840000000000,0.904800000000000,0.909760000000000,0.914720000000000,0.919680000000000,0.924640000000000,0.964320000000000,0.969280000000000,0.974240000000000,0.979200000000000,0.984160000000000,0.989120000000000,0.994080000000000,1.03376000000000,1.03872000000000,1.04368000000000,1.04864000000000,1.05360000000000,1.05856000000000,1.09824000000000,1.10320000000000,1.10816000000000,1.11312000000000,1.11808000000000,1.12304000000000,1.12800000000000,1.16272000000000,1.16768000000000,1.17264000000000,1.17760000000000,1.18256000000000,1.18752000000000,1.19248000000000,1.23216000000000,1.23712000000000,1.24208000000000,1.24704000000000,1.25200000000000,1.25696000000000,1.26192000000000,1.29664000000000,1.30160000000000,1.30656000000000,1.31152000000000,1.31648000000000,1.32144000000000,1.32640000000000,1.36608000000000,1.37104000000000,1.37600000000000,1.38096000000000,1.38592000000000,1.39088000000000,1.43056000000000,1.43552000000000,1.44048000000000,1.44544000000000,1.45040000000000,1.45536000000000,1.46032000000000,1.50000000000000,1.50496000000000,1.50992000000000,1.51488000000000,1.51984000000000,1.52480000000000,1.56448000000000,1.56944000000000,1.57440000000000,1.57936000000000,1.58432000000000,1.58928000000000,1.59424000000000,1.63392000000000,1.63888000000000,1.64384000000000,1.64880000000000,1.65376000000000,1.65872000000000,1.69840000000000,1.70336000000000,1.70832000000000,1.71328000000000,1.71824000000000,1.72320000000000,1.72816000000000,1.76288000000000,1.76784000000000,1.77280000000000,1.77776000000000,1.78272000000000,1.78768000000000,1.79264000000000,1.83232000000000,1.83728000000000,1.84224000000000,1.84720000000000,1.85216000000000,1.85712000000000,1.86208000000000,1.89680000000000,1.90176000000000,1.90672000000000,1.91168000000000,1.91664000000000,1.92160000000000,1.92656000000000,1.96624000000000,1.97120000000000,1.97616000000000,1.98112000000000,1.98608000000000,1.99104000000000,2.03072000000000,2.03568000000000,2.04064000000000,2.04560000000000,2.05056000000000,2.05552000000000,2.06048000000000,2.10016000000000,2.10512000000000,2.11008000000000,2.11504000000000,2.12000000000000,2.12496000000000,2.16464000000000,2.16960000000000,2.17456000000000,2.17952000000000,2.18448000000000,2.18944000000000,2.19440000000000,2.22912000000000,2.23408000000000,2.23904000000000,2.24400000000000,2.24896000000000,2.25392000000000,2.25888000000000,2.29856000000000,2.30352000000000,2.30848000000000,2.31344000000000,2.31840000000000,2.32336000000000,2.32832000000000,2.36304000000000,2.36800000000000,2.37296000000000,2.37792000000000,2.38288000000000,2.38784000000000,2.39280000000000,2.43248000000000,2.43744000000000,2.44240000000000,2.44736000000000,2.45232000000000,2.45728000000000,2.49696000000000,2.50192000000000,2.50688000000000,2.51184000000000,2.51680000000000,2.52176000000000,2.52672000000000,2.56640000000000,2.57136000000000,2.57632000000000,2.58128000000000,2.58624000000000,2.59120000000000,2.63088000000000,2.63584000000000,2.64080000000000,2.64576000000000,2.65072000000000,2.65568000000000,2.66064000000000,2.70032000000000,2.70528000000000,2.71024000000000,2.71520000000000,2.72016000000000,2.72512000000000,2.76480000000000,2.76976000000000,2.77472000000000,2.77968000000000,2.78464000000000,2.78960000000000,2.79456000000000,2.82928000000000,2.83424000000000,2.83920000000000,2.84416000000000,2.84912000000000,2.85408000000000,2.85904000000000,2.89872000000000,2.90368000000000,2.90864000000000,2.91360000000000,2.91856000000000,2.92352000000000,2.92848000000000,2.96320000000000,2.96816000000000,2.97312000000000,2.97808000000000,2.98304000000000,2.98800000000000,2.99296000000000,3.03264000000000,3.03760000000000,3.04256000000000,3.04752000000000,3.05248000000000,3.05744000000000,3.09712000000000,3.10208000000000,3.10704000000000,3.11200000000000,3.11696000000000,3.12192000000000,3.12688000000000,3.16656000000000,3.17152000000000,3.17648000000000,3.18144000000000,3.18640000000000,3.19136000000000,3.23104000000000,3.23600000000000,3.24096000000000,3.24592000000000,3.25088000000000,3.25584000000000,3.26080000000000,3.30048000000000,3.30544000000000,3.31040000000000,3.31536000000000,3.32032000000000,3.32528000000000,3.36496000000000,3.36992000000000,3.37488000000000,3.37984000000000,3.38480000000000,3.38976000000000,3.39472000000000,3.42944000000000,3.43440000000000,3.43936000000000,3.44432000000000,3.44928000000000,3.45424000000000,3.45920000000000,3.49888000000000,3.50384000000000,3.50880000000000,3.51376000000000,3.51872000000000,3.52368000000000,3.52864000000000,3.56336000000000,3.56832000000000,3.57328000000000,3.57824000000000,3.58320000000000,3.58816000000000,3.59312000000000,3.63280000000000,3.63776000000000,3.64272000000000,3.64768000000000,3.65264000000000,3.65760000000000,3.69728000000000,3.70224000000000,3.70720000000000,3.71216000000000,3.71712000000000,3.72208000000000,3.72704000000000,3.76672000000000,3.77168000000000,3.77664000000000,3.78160000000000,3.78656000000000,3.79152000000000,3.83120000000000,3.83616000000000,3.84112000000000,3.84608000000000,3.85104000000000,3.85600000000000,3.86096000000000,3.89568000000000,3.90064000000000,3.90560000000000,3.91056000000000,3.91552000000000,3.92048000000000,3.92544000000000,3.96512000000000,3.97008000000000,3.97504000000000,3.98000000000000,3.98496000000000,3.98992000000000,3.99488000000000,4.02960000000000,4.03456000000000,4.03952000000000,4.04448000000000,4.04944000000000,4.05440000000000,4.05936000000000,4.09904000000000,4.10400000000000,4.10896000000000,4.11392000000000,4.11888000000000,4.12384000000000,4.16352000000000,4.16848000000000,4.17344000000000,4.17840000000000,4.18336000000000,4.18832000000000,4.19328000000000,4.23296000000000,4.23792000000000,4.24288000000000,4.24784000000000,4.25280000000000,4.25776000000000,4.29744000000000,4.30240000000000,4.30736000000000,4.31232000000000,4.31728000000000,4.32224000000000,4.32720000000000,4.36688000000000,4.37184000000000,4.37680000000000,4.38176000000000,4.38672000000000,4.39168000000000,4.43136000000000,4.43632000000000,4.44128000000000,4.44624000000000,4.45120000000000,4.45616000000000,4.46112000000000,4.49584000000000,4.50080000000000,4.50576000000000,4.51072000000000,4.51568000000000,4.52064000000000,4.52560000000000,4.56528000000000,4.57024000000000,4.57520000000000,4.58016000000000,4.58512000000000,4.59008000000000,4.59504000000000,4.62976000000000,4.63472000000000,4.63968000000000,4.64464000000000,4.64960000000000,4.65456000000000,4.65952000000000,4.69920000000000,4.70416000000000,4.70912000000000,4.71408000000000,4.71904000000000,4.72400000000000,4.76368000000000,4.76864000000000,4.77360000000000,4.77856000000000,4.78352000000000,4.78848000000000,4.79344000000000,4.83312000000000,4.83808000000000,4.84304000000000,4.84800000000000,4.85296000000000,4.85792000000000,4.89760000000000,4.90256000000000,4.90752000000000,4.91248000000000,4.91744000000000,4.92240000000000,4.92736000000000,4.96704000000000,4.97200000000000,4.97696000000000,4.98192000000000,4.98688000000000,4.99184000000000,5.03152000000000];
% Y = [0.0237235890000000,0.0991239370000000,0.141935999000000,0.138421576000000,0.118613010000000,0.0837882730000000,0.0304329420000000,0.132351209000000,0.284429877000000,0.311906275000000,0.291458723000000,0.244812745000000,0.153757240000000,0.0623822420000000,0.429160206000000,0.599130482000000,0.599449975000000,0.558554871000000,0.467499366000000,0.170051383000000,0.0301134490000000,0.613827160000000,0.979327152000000,1.08060643300000,1.03204349700000,0.928847258000000,0.566542196000000,0.0186117010000000,0.479320607000000,1.02501465100000,1.26878781000000,1.24386735600000,1.15089489300000,0.785394901000000,0.130434251000000,0.102318867000000,0.879964829000000,1.36207976600000,1.44642591800000,1.37134506300000,1.10360992900000,0.463345957000000,0.728844640000000,1.42821481700000,1.69467197900000,1.64355309900000,1.46208107500000,0.874213955000000,0.389543074000000,1.36559418900000,1.85250152100000,1.88413132800000,1.77582320100000,1.30201508200000,0.368456536000000,1.09785905500000,1.85761340900000,2.08668989000000,2.00010728700000,1.68444820300000,0.862392714000000,0.694019903000000,1.71863395400000,2.20873621600000,2.20745824400000,2.02854216400000,1.35888483600000,0.186345526000000,0.205834599000000,1.40872574400000,2.18125981800000,2.38669381700000,2.27519076000000,1.79914619000000,0.760793940000000,0.953128726000000,2.00330221700000,2.48765360500000,2.44420255700000,2.17039705600000,1.31319733700000,0.399127864000000,1.67102949700000,2.42183804700000,2.56369293900000,2.43653472500000,1.81735729100000,0.598810989000000,1.17805179800000,2.20713875100000,2.64644162600000,2.57391671500000,2.20330483500000,1.19498492700000,0.550567546000000,1.86240580400000,2.57934809600000,2.66081881100000,2.48509766100000,1.74770781700000,0.419894909000000,1.35505092000000,2.34995212200000,2.71928603000000,2.62567458100000,2.15953429400000,1.05153257000000,0.776449097000000,2.02822267100000,2.66784765700000,2.69724101300000,2.46337213700000,1.62885642100000,0.239061871000000,0.146728394000000,1.53013308400000,2.45762126300000,2.75059634400000,2.63973227300000,2.08860684800000,0.892105563000000,0.956323656000000,2.15953429400000,2.72855132700000,2.71800805800000,2.42726942800000,1.49914226300000,0.0655771720000000,0.342577603000000,1.70010336000000,2.56560989700000,2.77104389600000,2.64356618900000,2.00234373800000,0.731081091000000,1.12916936900000,2.27135684400000,2.78190665800000,2.72631487600000,2.36496829300000,1.35441193400000,0.483793509000000,1.85761340900000,2.64292720300000,2.77391933300000,2.61193638200000,1.88477031400000,0.546733630000000,1.29434725000000,2.35602248900000,2.79564485700000,2.71800805800000,2.27710771800000,1.18635861600000,0.640984065000000,1.98125720000000,2.70363087300000,2.77455831900000,2.56209547400000,1.74738832400000,0.361747183000000,1.44674541100000,2.44707799400000,2.81705088800000,2.71641059300000,2.19180308700000,1.02309769300000,0.848974008000000,2.11736121800000,2.75379127400000,2.77232186800000,2.50490622700000,1.61511822200000,0.186026033000000,0.211265980000000,1.61671568700000,2.53589704800000,2.81737038100000,2.70075543600000,2.09627468000000,0.856002854000000,1.03172400400000,2.23493464200000,2.79915928000000,2.77615578400000,2.45314836100000,1.47422180900000,0.0157362640000000,0.390501553000000,1.77294776400000,2.63334241300000,2.81928733900000,2.67423751700000,1.98924452500000,0.687949536000000,1.21319602800000,2.34739617800000,2.83653996100000,2.77232186800000,2.37742852000000,1.31447530900000,0.528842022000000,1.94195956100000,2.72887082000000,2.84548576500000,2.66337475500000,1.87742197500000,0.505838526000000,1.36207976600000,2.45346785400000,2.88222746000000,2.79628384300000,2.30522310200000,1.15217286500000,0.724691231000000,2.08093901600000,2.80810508400000,2.86337737300000,2.62503559500000,1.74962477500000,0.324366502000000,0.0617432560000000,1.53907888800000,2.54164792200000,2.90299450500000,2.79883978700000,2.22215492200000,0.984758533000000,0.917345510000000,2.21065317400000,2.85379258300000,2.86114092200000,2.56784634800000,1.60776988300000,0.142255492000000,0.278040017000000,1.69339400700000,2.62631356700000,2.88286644600000,2.76593200800000,2.11001287900000,0.808078904000000,1.07996744700000,2.29340186100000,2.86816976800000,2.83685945400000,2.47902729400000,1.44035555100000,0.420853388000000,1.84036078700000,2.70650631000000,2.87967151600000,2.73046828500000,1.98828604600000,0.633955219000000,1.26399541500000,2.38733280300000,2.88733934800000,2.81737038100000,2.38893026800000,1.27805310700000,0.568459154000000,1.99467590600000,2.76976592400000,2.87104520500000,2.67583498200000,1.85537695800000,0.451205223000000,1.42054698500000,2.47870780100000,2.89820211000000,2.80778559100000,2.28605352200000,1.11095826800000,0.792104254000000,2.13046043100000,2.82631618500000,2.86657230300000,2.61896522800000,1.71416105200000,0.277081538000000,0.125322363000000,1.59179523300000,2.57807012400000,2.91321828100000,2.80554914000000,2.20106838400000,0.942904950000000,0.966227939000000,2.24867284100000,2.86273838700000,2.85858497800000,2.54484285200000,1.56208238400000,0.0863442170000000,0.323727516000000,1.74706883100000,2.66593069900000,2.90075805400000,2.77232186800000,2.08732887600000,0.772615181000000,1.14514401900000,2.33525544400000,2.88957579900000,2.84708323000000,2.46944250400000,1.39882146100000,0.470374803000000,1.88860423000000,2.73845561000000,2.89372920800000,2.72855132700000,1.95090536500000,0.592421129000000,1.31511429500000,2.43174233000000,2.91098183000000,2.83366452400000,2.37838699900000,1.23588003100000,0.635872177000000,2.03461253100000,2.79596435000000,2.87903253000000,2.66912562900000,1.81895475600000,0.397849892000000,1.47166586500000,2.51576898900000,2.91769118300000,2.81800936700000,2.27359329500000,1.07166062900000,0.848335022000000,2.16496567500000,2.84995866700000,2.87551810700000,2.60394905700000,1.67134899000000,0.215738882000000,0.189540456000000,1.64163614100000,2.60426855000000,2.91769118300000,2.80522964700000,2.17518945100000,0.899453902000000,1.02373667900000,2.28253909900000,2.88638086900000,2.86944774000000,2.53525806200000,1.52885511200000,0.0342668580000000,0.359830225000000,1.78988089300000,2.68861470200000,2.88797833400000,2.75634721800000,2.05474059000000,0.715745427000000,1.20041630800000,2.36560727900000,2.90331399800000,2.85059765300000,2.44739748700000,1.35888483600000,0.505199540000000,1.94419601200000,2.75986164100000,2.89436819400000,2.71704957900000,1.92534592500000,0.547372616000000,1.35920432900000,2.46081619300000,2.91321828100000,2.83238655200000,2.35474451700000,1.19051202500000,0.698173312000000,2.07231270500000,2.81609240900000,2.88701985500000,2.65890185300000,1.78892241400000,0.355037830000000,0.0186117010000000,1.52502119600000,2.54707930300000,2.92280307100000,2.81832886000000,2.25090929200000,1.02597313000000,0.901051367000000,2.20809723000000,2.85251461100000,2.86912824700000,2.58733542100000,1.63428780200000,0.160786086000000,0.239700857000000,1.67486341300000,2.62695255300000,2.90555044900000,2.78893550400000,2.13940623500000,0.838750232000000,1.06399279700000,2.30554259500000,2.88957579900000,2.86369686600000,2.51576898900000,1.48284812000000,0.400405836000000,1.83908281500000,2.71449363500000,2.90299450500000,2.75219380900000,2.02215230400000,0.672294379000000,1.25153518800000,2.38637432400000,2.91066233700000,2.84644424400000,2.42758892100000,1.32310162000000,0.547692109000000,1.99180046900000,2.78446260200000,2.89756312400000,2.69883847800000,1.89307713200000,0.494017285000000,1.41671306900000,2.49691890200000,2.92376155000000,2.83749844000000,2.33493595100000,1.16367461300000,0.762071912000000,2.12087564100000,2.83909590500000,2.89053427800000,2.65091452800000,1.75793159300000,0.311267289000000,0.0802738500000000,1.57614007600000,2.57902860300000,2.92951242400000,2.82248226900000,2.23205920500000,0.982841575000000,0.947377852000000,2.24164399500000,2.86880875400000,2.86753078200000,2.57072178500000,1.60489444600000,0.123085912000000,0.299765541000000,1.73365012500000,2.66241627600000,2.92024712700000,2.79149144800000,2.11672223200000,0.800411072000000,1.12246001600000,2.34196479700000,2.89724363100000,2.85954345700000,2.49596042300000,1.44706490400000,0.443217898000000,1.88892372300000,2.73781662400000,2.90331399800000,2.74197003300000,1.99371742700000,0.631399275000000,1.29402775700000,2.42247703300000,2.92024712700000,2.85123663900000,2.40394643900000,1.28124803700000,0.603603384000000,2.03173709400000,2.80203471700000,2.89564616600000,2.68605875800000,1.85729391600000,0.446093335000000,1.46016411700000,2.52567327200000,2.91673270400000,2.82376024100000,2.29627729800000,1.11127776100000,0.818941666000000];
% Strain = 1:0.5:2.5;
A = 130*rand(500,1)+70;
Strain = 50:30:170
Strain = 1×5
50 80 110 140 170
X = 0:0.01:1;
Y = A.*sin(pi*X)
Y = 500×101
0 2.5451 5.0876 7.6252 10.1552 12.6752 15.1827 17.6751 20.1502 22.6054 25.0382 27.4464 29.8274 32.1791 34.4989 36.7848 39.0343 41.2453 43.4156 45.5430 47.6255 49.6611 51.6475 53.5831 55.4657 57.2936 59.0650 60.7781 62.4312 64.0226
0 2.4550 4.9077 7.3554 9.7960 12.2268 14.6456 17.0499 19.4374 21.8058 24.1526 26.4755 28.7724 31.0408 33.2786 35.4836 37.6536 39.7863 41.8799 43.9321 45.9409 47.9044 49.8206 51.6877 53.5038 55.2670 56.9757 58.6282 60.2228 61.7580
0 4.0253 8.0466 12.0600 16.0615 20.0471 24.0129 27.9551 31.8696 35.7527 39.6005 43.4093 47.1752 50.8945 54.5636 58.1789 61.7367 65.2337 68.6662 72.0310 75.3247 78.5440 81.6859 84.7471 87.7247 90.6157 93.4173 96.1267 98.7413 101.2584
0 6.2040 12.4018 18.5874 24.7546 30.8975 37.0098 43.0856 49.1189 55.1037 61.0341 66.9043 72.7085 78.4409 84.0959 89.6679 95.1514 100.5411 105.8315 111.0174 116.0938 121.0556 125.8980 130.6161 135.2053 139.6611 143.9790 148.1549 152.1845 156.0640
0 5.6796 11.3536 17.0164 22.6624 28.2860 33.8817 39.4440 44.9673 50.4463 55.8755 61.2495 66.5631 71.8110 76.9881 82.0891 87.1092 92.0433 96.8865 101.6341 106.2815 110.8239 115.2570 119.5763 123.7776 127.8568 131.8098 135.6327 139.3218 142.8733
0 5.8688 11.7319 17.5833 23.4174 29.2284 35.0106 40.7582 46.4655 52.1270 57.7371 63.2902 68.7808 74.2036 79.5531 84.8241 90.0115 95.1099 100.1145 105.0204 109.8225 114.5163 119.0971 123.5603 127.9016 132.1167 136.2014 140.1517 143.9636 147.6335
0 5.4444 10.8835 16.3119 21.7241 27.1149 32.4789 37.8109 43.1056 48.3577 53.5621 58.7137 63.8073 68.8379 73.8006 78.6905 83.5027 88.2325 92.8752 97.4263 101.8812 106.2356 110.4851 114.6256 118.6530 122.5633 126.3526 130.0172 133.5535 136.9581
0 3.1055 6.2079 9.3042 12.3913 15.4661 18.5258 21.5671 24.5871 27.5829 30.5515 33.4899 36.3952 39.2647 42.0954 44.8845 47.6293 50.3272 52.9754 55.5713 58.1123 60.5960 63.0199 65.3817 67.6788 69.9092 72.0707 74.1609 76.1780 78.1199
0 2.5427 5.0829 7.6181 10.1458 12.6635 15.1686 17.6588 20.1316 22.5845 25.0151 27.4211 29.7999 32.1494 34.4671 36.7508 38.9983 41.2072 43.3755 45.5010 47.5816 49.6152 51.5999 53.5336 55.4145 57.2408 59.0105 60.7220 62.3735 63.9636
0 2.6398 5.2770 7.9090 10.5332 13.1469 15.7478 18.3330 20.9002 23.4468 25.9702 28.4679 30.9376 33.3768 35.7830 38.1539 40.4872 42.7805 45.0315 47.2382 49.3982 51.5095 53.5699 55.5775 57.5302 59.4261 61.2634 63.0403 64.7549 66.4056
figure
plot(X, Y)
grid
yline(Strain, '--k', 'LineWidth',2)

% return
size(Y,1)
ans = 500
for k = 1:size(Y,1)
[pks,plocs] = findpeaks(Y(k,:));
[vys,vlocs] = findpeaks(-Y(k,:));
pksv{k,:} = pks;
plocsv{k,:} = plocs;
vysv{k,:} = vys;
vlocsv{k,:} = vlocs;
end
% vlocs = [1 vlocs numel(Y)];
for k1 = 1:numel([plocsv{:}])
% idx = vlocs(k1) : vlocs(k1+1);
% [Width(k1,:),Results{k1}] = interpStrain(X(idx), Y(idx), Strain, k1)
[Width(k1,:),Results{k1}] = interpStrain(X, Y(k1,:), Strain, k1);
% figure
% plot(X(idx), Y(idx))
% yline(Strain, 'Color', 'r', 'LineWidth', 1);
% text(X(plocs(k1))*ones(size(Strain)),Strain, compose('\\Delta t = %.5f',Width(k1,:)), 'Horiz','center', 'Vert','middle', 'FontSize',9)
% xlabel('No. of Cycles');
% ylabel('Voltage [V]');
% title(sprintf('Peak #%3d',k1))
%
% fprintf('\nPeak #%3d —\n',k1)
Strain_Width_Table = Results{k1}
end
Strain_Width_Table = 5×1 table
Width_Peak_001
______________
50.0 0.57659
80.0 0.10127
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_002
______________
50.0 0.55808
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_003
______________
50.0 0.74481
80.0 0.57073
110.0 0.34289
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_004
______________
50.0 0.83706
80.0 0.73449
110.0 0.62392
140.0 0.49843
170.0 0.34003
Strain_Width_Table = 5×1 table
Width_Peak_005
______________
50.0 0.82163
80.0 0.70819
110.0 0.58363
140.0 0.43618
170.0 0.22127
Strain_Width_Table = 5×1 table
Width_Peak_006
______________
50.0 0.82751
80.0 0.7183
110.0 0.59924
140.0 0.46077
170.0 0.27221
Strain_Width_Table = 5×1 table
Width_Peak_007
______________
50.0 0.81369
80.0 0.69456
110.0 0.56228
140.0 0.40139
170.0 0.12472
Strain_Width_Table = 5×1 table
Width_Peak_008
______________
50.0 0.66243
80.0 0.39983
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_009
______________
50.0 0.57612
80.0 0.097433
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_010
______________
50.0 0.5943
80.0 0.19814
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_011
______________
50.0 0.74702
80.0 0.57493
110.0 0.35151
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_012
______________
50.0 0.69408
80.0 0.47001
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_013
______________
50.0 0.65059
80.0 0.37125
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_014
______________
50.0 0.73231
80.0 0.54691
110.0 0.28994
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_015
______________
50.0 0.71366
80.0 0.51025
110.0 0.18848
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_016
______________
50.0 0.73075
80.0 0.54392
110.0 0.28284
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_017
______________
50.0 0.56298
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_018
______________
50.0 0.69269
80.0 0.46709
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_019
______________
50.0 0.54226
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_020
______________
50.0 0.62097
80.0 0.2909
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_021
______________
50.0 0.81367
80.0 0.69453
110.0 0.56224
140.0 0.40132
170.0 0.12446
Strain_Width_Table = 5×1 table
Width_Peak_022
______________
50.0 0.7824
80.0 0.63965
110.0 0.47204
140.0 0.2243
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_023
______________
50.0 0.76869
80.0 0.61495
110.0 0.42853
140.0 0.063306
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_024
______________
50.0 0.78608
80.0 0.6462
110.0 0.48332
140.0 0.25102
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_025
______________
50.0 0.606
80.0 0.24275
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_026
______________
50.0 0.8271
80.0 0.71759
110.0 0.59814
140.0 0.45906
170.0 0.26889
Strain_Width_Table = 5×1 table
Width_Peak_027
______________
50.0 0.79042
80.0 0.6539
110.0 0.49629
140.0 0.27955
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_028
______________
50.0 0.60281
80.0 0.23118
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_029
______________
50.0 0.76579
80.0 0.60965
110.0 0.41895
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_030
______________
50.0 0.82947
80.0 0.72164
110.0 0.60434
140.0 0.46862
170.0 0.2873
Strain_Width_Table = 5×1 table
Width_Peak_031
______________
50.0 0.80681
80.0 0.68266
110.0 0.54333
140.0 0.36895
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_032
______________
50.0 0.7994
80.0 0.66967
110.0 0.52237
140.0 0.33102
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_033
______________
50.0 0.53018
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_034
______________
50.0 0.81169
80.0 0.6911
110.0 0.55682
140.0 0.39215
170.0 0.085115
Strain_Width_Table = 5×1 table
Width_Peak_035
______________
50.0 0.80026
80.0 0.67118
110.0 0.5248
140.0 0.33564
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_036
______________
50.0 0.5062
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_037
______________
50.0 0.74161
80.0 0.56467
110.0 0.32991
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_038
______________
50.0 0.70997
80.0 0.50285
110.0 0.16176
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_039
______________
50.0 0.54446
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_040
______________
50.0 0.8134
80.0 0.69406
110.0 0.56151
140.0 0.40011
170.0 0.1201
Strain_Width_Table = 5×1 table
Width_Peak_041
______________
50.0 0.77456
80.0 0.62558
110.0 0.44757
140.0 0.15388
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_042
______________
50.0 0.61401
80.0 0.26944
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_043
______________
50.0 0.68876
80.0 0.45878
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_044
______________
50.0 0.72557
80.0 0.53382
110.0 0.25763
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_045
______________
50.0 0.82365
80.0 0.71167
110.0 0.589
140.0 0.44473
170.0 0.24003
Strain_Width_Table = 5×1 table
Width_Peak_046
______________
50.0 0.60672
80.0 0.24521
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_047
______________
50.0 0.62939
80.0 0.31552
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_048
______________
50.0 0.72102
80.0 0.52485
110.0 0.23329
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_049
______________
50.0 0.66571
80.0 0.40743
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_050
______________
50.0 0.71552
80.0 0.51396
110.0 0.20085
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_051
______________
50.0 0.83671
80.0 0.73391
110.0 0.62306
140.0 0.49711
170.0 0.33778
Strain_Width_Table = 5×1 table
Width_Peak_052
______________
50.0 0.75542
80.0 0.59056
110.0 0.38285
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_053
______________
50.0 0.5032
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_054
______________
50.0 0.8153
80.0 0.69734
110.0 0.56662
140.0 0.40857
170.0 0.14915
Strain_Width_Table = 5×1 table
Width_Peak_055
______________
50.0 0.65365
80.0 0.37884
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_056
______________
50.0 0.77526
80.0 0.62683
110.0 0.44978
140.0 0.16151
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_057
______________
50.0 0.83678
80.0 0.73402
110.0 0.62323
140.0 0.49737
170.0 0.33822
Strain_Width_Table = 5×1 table
Width_Peak_058
______________
50.0 0.81923
80.0 0.70408
110.0 0.57722
140.0 0.42585
170.0 0.19689
Strain_Width_Table = 5×1 table
Width_Peak_059
______________
50.0 0.81174
80.0 0.69119
110.0 0.55696
140.0 0.39239
170.0 0.086268
Strain_Width_Table = 5×1 table
Width_Peak_060
______________
50.0 0.72841
80.0 0.53943
110.0 0.27167
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_061
______________
50.0 0.67058
80.0 0.41872
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_062
______________
50.0 0.72089
80.0 0.52459
110.0 0.23255
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_063
______________
50.0 0.79925
80.0 0.66941
110.0 0.52195
140.0 0.33022
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_064
______________
50.0 0.6493
80.0 0.36803
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_065
______________
50.0 0.7134
80.0 0.50971
110.0 0.18669
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_066
______________
50.0 0.59912
80.0 0.21736
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_067
______________
50.0 0.80511
80.0 0.67971
110.0 0.53859
140.0 0.36067
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_068
______________
50.0 0.76398
80.0 0.60634
110.0 0.41274
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_069
______________
50.0 0.83555
80.0 0.73193
110.0 0.62009
140.0 0.49257
170.0 0.33005
Strain_Width_Table = 5×1 table
Width_Peak_070
______________
50.0 0.81949
80.0 0.70452
110.0 0.57791
140.0 0.42695
170.0 0.19973
Strain_Width_Table = 5×1 table
Width_Peak_071
______________
50.0 0.83023
80.0 0.72293
110.0 0.6063
140.0 0.47166
170.0 0.29294
Strain_Width_Table = 5×1 table
Width_Peak_072
______________
50.0 0.61484
80.0 0.27207
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_073
______________
50.0 0.81832
80.0 0.70252
110.0 0.57475
140.0 0.42193
170.0 0.18676
Strain_Width_Table = 5×1 table
Width_Peak_074
______________
50.0 0.71409
80.0 0.51109
110.0 0.19132
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_075
______________
50.0 0.67611
80.0 0.43105
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_076
______________
50.0 0.82439
80.0 0.71294
110.0 0.59095
140.0 0.4478
170.0 0.24636
Strain_Width_Table = 5×1 table
Width_Peak_077
______________
50.0 0.82131
80.0 0.70764
110.0 0.58277
140.0 0.43479
170.0 0.21813
Strain_Width_Table = 5×1 table
Width_Peak_078
______________
50.0 0.61674
80.0 0.27812
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_079
______________
50.0 0.83752
80.0 0.73527
110.0 0.6251
140.0 0.50023
170.0 0.34295
Strain_Width_Table = 5×1 table
Width_Peak_080
______________
50.0 0.74857
80.0 0.57785
110.0 0.35751
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_081
______________
50.0 0.72104
80.0 0.5249
110.0 0.23342
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_082
______________
50.0 0.56123
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_083
______________
50.0 0.66393
80.0 0.40333
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_084
______________
50.0 0.54725
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_085
______________
50.0 0.51707
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_086
______________
50.0 0.80057
80.0 0.67171
110.0 0.52567
140.0 0.33728
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_087
______________
50.0 0.82637
80.0 0.71635
110.0 0.59622
140.0 0.45606
170.0 0.26313
Strain_Width_Table = 5×1 table
Width_Peak_088
______________
50.0 0.83579
80.0 0.73234
110.0 0.62071
140.0 0.49351
170.0 0.33165
Strain_Width_Table = 5×1 table
Width_Peak_089
______________
50.0 0.63836
80.0 0.33997
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_090
______________
50.0 0.68059
80.0 0.441
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_091
______________
50.0 0.68421
80.0 0.44888
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_092
______________
50.0 0.83474
80.0 0.73057
110.0 0.618
140.0 0.48945
170.0 0.32472
Strain_Width_Table = 5×1 table
Width_Peak_093
______________
50.0 0.83377
80.0 0.72892
110.0 0.61549
140.0 0.48568
170.0 0.31818
Strain_Width_Table = 5×1 table
Width_Peak_094
______________
50.0 0.6265
80.0 0.30724
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_095
______________
50.0 0.79114
80.0 0.65519
110.0 0.49846
140.0 0.28395
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_096
______________
50.0 0.82264
80.0 0.70992
110.0 0.5863
140.0 0.44051
170.0 0.23061
Strain_Width_Table = 5×1 table
Width_Peak_097
______________
50.0 0.82858
80.0 0.72013
110.0 0.60202
140.0 0.46504
170.0 0.28064
Strain_Width_Table = 5×1 table
Width_Peak_098
______________
50.0 0.81891
80.0 0.70354
110.0 0.57636
140.0 0.4245
170.0 0.19338
Strain_Width_Table = 5×1 table
Width_Peak_099
______________
50.0 0.75694
80.0 0.59338
110.0 0.38823
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_100
______________
50.0 0.83654
80.0 0.73361
110.0 0.62261
140.0 0.49643
170.0 0.33662
Strain_Width_Table = 5×1 table
Width_Peak_101
______________
50.0 0.79256
80.0 0.6577
110.0 0.50261
140.0 0.29247
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_102
______________
50.0 0.66477
80.0 0.40527
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_103
______________
50.0 0.75083
80.0 0.58208
110.0 0.366
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_104
______________
50.0 0.83367
80.0 0.72875
110.0 0.61522
140.0 0.48528
170.0 0.31747
Strain_Width_Table = 5×1 table
Width_Peak_105
______________
50.0 0.72936
80.0 0.54127
110.0 0.27629
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_106
______________
50.0 0.6791
80.0 0.43771
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_107
______________
50.0 0.78981
80.0 0.65282
110.0 0.49448
140.0 0.27565
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_108
______________
50.0 0.76677
80.0 0.61144
110.0 0.4222
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_109
______________
50.0 0.7765
80.0 0.62905
110.0 0.45371
140.0 0.17383
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_110
______________
50.0 0.76756
80.0 0.61288
110.0 0.42479
140.0 -0.49317
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_111
______________
50.0 0.58038
80.0 0.12754
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_112
______________
50.0 0.80993
80.0 0.68806
110.0 0.55195
140.0 0.38396
170.0 -0.49928
Strain_Width_Table = 5×1 table
Width_Peak_113
______________
50.0 0.82844
80.0 0.71989
110.0 0.60165
140.0 0.46447
170.0 0.27955
Strain_Width_Table = 5×1 table
Width_Peak_114
______________
50.0 0.81562
80.0 0.69789
110.0 0.56748
140.0 0.40998
170.0 0.15355
Strain_Width_Table = 5×1 table
Width_Peak_115
______________
50.0 0.82069
80.0 0.70658
110.0 0.58114
140.0 0.43213
170.0 0.21189
Strain_Width_Table = 5×1 table
Width_Peak_116
______________
50.0 0.54019
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_117
______________
50.0 0.81426
80.0 0.69555
110.0 0.56383
140.0 0.40395
170.0 0.13394
Strain_Width_Table = 5×1 table
Width_Peak_118
______________
50.0 0.56608
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_119
______________
50.0 0.77228
80.0 0.62149
110.0 0.44033
140.0 0.12646
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_120
______________
50.0 0.74927
80.0 0.57919
110.0 0.36025
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_121
______________
50.0 0.62365
80.0 0.29905
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_122
______________
50.0 0.62734
80.0 0.30965
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_123
______________
50.0 0.72853
80.0 0.53965
110.0 0.27221
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_124
______________
50.0 0.57334
80.0 0.07071
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_125
______________
50.0 0.8341
80.0 0.72949
110.0 0.61635
140.0 0.48698
170.0 0.3205
Strain_Width_Table = 5×1 table
Width_Peak_126
______________
50.0 0.78021
80.0 0.6357
110.0 0.46529
140.0 0.20684
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_127
______________
50.0 0.77503
80.0 0.62641
110.0 0.44904
140.0 0.15908
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_128
______________
50.0 0.57501
80.0 0.087579
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_129
______________
50.0 0.81165
80.0 0.69103
110.0 0.55671
140.0 0.39197
170.0 0.084197
Strain_Width_Table = 5×1 table
Width_Peak_130
______________
50.0 0.53888
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_131
______________
50.0 0.71409
80.0 0.51111
110.0 0.19137
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_132
______________
50.0 0.8005
80.0 0.67159
110.0 0.52547
140.0 0.3369
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_133
______________
50.0 0.70398
80.0 0.49057
110.0 0.10463
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_134
______________
50.0 0.69728
80.0 0.47673
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_135
______________
50.0 0.73812
80.0 0.55805
110.0 0.31544
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_136
______________
50.0 0.75567
80.0 0.59103
110.0 0.38375
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_137
______________
50.0 0.81834
80.0 0.70257
110.0 0.57482
140.0 0.42205
170.0 0.18707
Strain_Width_Table = 5×1 table
Width_Peak_138
______________
50.0 0.77027
80.0 0.61784
110.0 0.43372
140.0 0.096315
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_139
______________
50.0 0.64359
80.0 0.35354
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_140
______________
50.0 0.80306
80.0 0.6761
110.0 0.53275
140.0 0.35018
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_141
______________
50.0 0.76396
80.0 0.6063
110.0 0.41267
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_142
______________
50.0 0.82813
80.0 0.71936
110.0 0.60086
140.0 0.46324
170.0 0.27712
Strain_Width_Table = 5×1 table
Width_Peak_143
______________
50.0 0.76323
80.0 0.60497
110.0 0.41017
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_144
______________
50.0 0.79689
80.0 0.6653
110.0 0.51517
140.0 0.31746
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_145
______________
50.0 0.64048
80.0 0.34541
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_146
______________
50.0 0.82966
80.0 0.72195
110.0 0.60481
140.0 0.46936
170.0 0.28867
Strain_Width_Table = 5×1 table
Width_Peak_147
______________
50.0 0.70288
80.0 0.48831
110.0 0.090236
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_148
______________
50.0 0.77177
80.0 0.62058
110.0 0.43867
140.0 0.11992
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_149
______________
50.0 0.65707
80.0 0.38701
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_150
______________
50.0 0.8326
80.0 0.72695
110.0 0.61246
140.0 0.48115
170.0 0.31001
Strain_Width_Table = 5×1 table
Width_Peak_151
______________
50.0 0.7877
80.0 0.64907
110.0 0.48815
140.0 0.26204
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_152
______________
50.0 0.7408
80.0 0.56314
110.0 0.3266
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_153
______________
50.0 0.50636
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_154
______________
50.0 0.73841
80.0 0.55862
110.0 0.3167
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_155
______________
50.0 0.8258
80.0 0.71535
110.0 0.59469
140.0 0.45365
170.0 0.25841
Strain_Width_Table = 5×1 table
Width_Peak_156
______________
50.0 0.56695
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_157
______________
50.0 0.78667
80.0 0.64724
110.0 0.48507
140.0 0.25507
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_158
______________
50.0 0.70212
80.0 0.48675
110.0 0.079545
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_159
______________
50.0 0.71163
80.0 0.50617
110.0 0.1742
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_160
______________
50.0 0.65844
80.0 0.39027
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_161
______________
50.0 0.4952
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_162
______________
50.0 0.75907
80.0 0.59732
110.0 0.39578
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_163
______________
50.0 0.75634
80.0 0.59227
110.0 0.38611
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_164
______________
50.0 0.75497
80.0 0.58974
110.0 0.38127
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_165
______________
50.0 0.77549
80.0 0.62723
110.0 0.45049
140.0 0.16372
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_166
______________
50.0 0.68876
80.0 0.45878
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_167
______________
50.0 0.76761
80.0 0.61297
110.0 0.42496
140.0 0.020698
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_168
______________
50.0 0.67888
80.0 0.43721
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_169
______________
50.0 0.74633
80.0 0.57362
110.0 0.34882
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_170
______________
50.0 0.73983
80.0 0.5613
110.0 0.32261
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_171
______________
50.0 0.63965
80.0 0.34327
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_172
______________
50.0 0.72103
80.0 0.52487
110.0 0.23336
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_173
______________
50.0 0.83879
80.0 0.73743
110.0 0.62834
140.0 0.50502
170.0 0.35095
Strain_Width_Table = 5×1 table
Width_Peak_174
______________
50.0 0.7361
80.0 0.55419
110.0 0.30681
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_175
______________
50.0 0.6183
80.0 0.28288
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_176
______________
50.0 0.8127
80.0 0.69285
110.0 0.55961
140.0 0.39685
170.0 0.10688
Strain_Width_Table = 5×1 table
Width_Peak_177
______________
50.0 0.65747
80.0 0.38795
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_178
______________
50.0 0.73576
80.0 0.55354
110.0 0.30535
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_179
______________
50.0 0.81759
80.0 0.70129
110.0 0.5728
140.0 0.41878
170.0 0.17861
Strain_Width_Table = 5×1 table
Width_Peak_180
______________
50.0 0.82658
80.0 0.7167
110.0 0.59676
140.0 0.4569
170.0 0.26475
Strain_Width_Table = 5×1 table
Width_Peak_181
______________
50.0 0.75051
80.0 0.5815
110.0 0.36484
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_182
______________
50.0 0.63319
80.0 0.32601
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_183
______________
50.0 0.61565
80.0 0.27466
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_184
______________
50.0 0.80579
80.0 0.68089
110.0 0.54051
140.0 0.36397
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_185
______________
50.0 0.82431
80.0 0.7128
110.0 0.59074
140.0 0.44747
170.0 0.24566
Strain_Width_Table = 5×1 table
Width_Peak_186
______________
50.0 0.62298
80.0 0.297
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_187
______________
50.0 0.78154
80.0 0.63811
110.0 0.46939
140.0 0.21771
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_188
______________
50.0 0.59983
80.0 0.22013
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_189
______________
50.0 0.69172
80.0 0.46505
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_190
______________
50.0 0.69146
80.0 0.46451
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_191
______________
50.0 0.72444
80.0 0.53159
110.0 0.25172
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_192
______________
50.0 0.83898
80.0 0.73774
110.0 0.6288
140.0 0.5057
170.0 0.35209
Strain_Width_Table = 5×1 table
Width_Peak_193
______________
50.0 0.80003
80.0 0.67076
110.0 0.52414
140.0 0.33437
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_194
______________
50.0 0.62685
80.0 0.30825
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_195
______________
50.0 0.82861
80.0 0.72018
110.0 0.60209
140.0 0.46515
170.0 0.28085
Strain_Width_Table = 5×1 table
Width_Peak_196
______________
50.0 0.79468
80.0 0.66144
110.0 0.50876
140.0 0.30493
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_197
______________
50.0 0.79319
80.0 0.65882
110.0 0.50444
140.0 0.29628
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_198
______________
50.0 0.77075
80.0 0.61872
110.0 0.4353
140.0 0.10429
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_199
______________
50.0 0.77803
80.0 0.63178
110.0 0.45854
140.0 0.18804
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_200
______________
50.0 0.78784
80.0 0.64932
110.0 0.48857
140.0 0.26295
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_201
______________
50.0 0.57145
80.0 0.044851
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_202
______________
50.0 0.57805
80.0 0.11189
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_203
______________
50.0 0.59135
80.0 0.18531
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_204
______________
50.0 0.83705
80.0 0.73447
110.0 0.6239
140.0 0.49839
170.0 0.33997
Strain_Width_Table = 5×1 table
Width_Peak_205
______________
50.0 0.5272
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_206
______________
50.0 0.80656
80.0 0.68222
110.0 0.54262
140.0 0.3677
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_207
______________
50.0 0.76641
80.0 0.61078
110.0 0.42102
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_208
______________
50.0 0.71598
80.0 0.51489
110.0 0.20368
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_209
______________
50.0 0.72977
80.0 0.54205
110.0 0.27829
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_210
______________
50.0 0.71118
80.0 0.50528
110.0 0.17085
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_211
______________
50.0 0.77876
80.0 0.63309
110.0 0.46082
140.0 0.19454
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_212
______________
50.0 0.79281
80.0 0.65816
110.0 0.50335
140.0 0.29401
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_213
______________
50.0 0.74826
80.0 0.57727
110.0 0.35633
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_214
______________
50.0 0.79699
80.0 0.66547
110.0 0.51546
140.0 0.31802
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_215
______________
50.0 0.83869
80.0 0.73725
110.0 0.62807
140.0 0.50462
170.0 0.35028
Strain_Width_Table = 5×1 table
Width_Peak_216
______________
50.0 0.71219
80.0 0.50731
110.0 0.17845
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_217
______________
50.0 0.77809
80.0 0.63189
110.0 0.45874
140.0 0.18859
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_218
______________
50.0 0.74283
80.0 0.56699
110.0 0.33495
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_219
______________
50.0 0.70105
80.0 0.48452
110.0 0.060153
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_220
______________
50.0 0.74248
80.0 0.56632
110.0 0.3335
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_221
______________
50.0 0.81384
80.0 0.69482
110.0 0.5627
140.0 0.40207
170.0 0.12717
Strain_Width_Table = 5×1 table
Width_Peak_222
______________
50.0 0.83859
80.0 0.73708
110.0 0.62781
140.0 0.50424
170.0 0.34965
Strain_Width_Table = 5×1 table
Width_Peak_223
______________
50.0 0.6677
80.0 0.41205
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_224
______________
50.0 0.59667
80.0 0.20768
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_225
______________
50.0 0.52958
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_226
______________
50.0 0.74433
80.0 0.56982
110.0 0.34102
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_227
______________
50.0 0.71052
80.0 0.50395
110.0 0.16589
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_228
______________
50.0 0.7772
80.0 0.63029
110.0 0.45591
140.0 0.18064
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_229
______________
50.0 0.83385
80.0 0.72905
110.0 0.61569
140.0 0.48598
170.0 0.31873
Strain_Width_Table = 5×1 table
Width_Peak_230
______________
50.0 0.79542
80.0 0.66273
110.0 0.51089
140.0 0.3091
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_231
______________
50.0 0.55551
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_232
______________
50.0 0.80892
80.0 0.68631
110.0 0.54916
140.0 0.37923
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_233
______________
50.0 0.71168
80.0 0.50629
110.0 0.17463
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_234
______________
50.0 0.81026
80.0 0.68862
110.0 0.55286
140.0 0.3855
170.0 0.036511
Strain_Width_Table = 5×1 table
Width_Peak_235
______________
50.0 0.63723
80.0 0.33693
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_236
______________
50.0 0.63124
80.0 0.32075
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_237
______________
50.0 0.74356
80.0 0.56836
110.0 0.33791
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_238
______________
50.0 0.53742
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_239
______________
50.0 0.78062
80.0 0.63644
110.0 0.46655
140.0 0.21018
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_240
______________
50.0 0.81394
80.0 0.695
110.0 0.56297
140.0 0.40253
170.0 0.12881
Strain_Width_Table = 5×1 table
Width_Peak_241
______________
50.0 0.72273
80.0 0.52822
110.0 0.24274
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_242
______________
50.0 0.8301
80.0 0.72271
110.0 0.60597
140.0 0.47115
170.0 0.29201
Strain_Width_Table = 5×1 table
Width_Peak_243
______________
50.0 0.78513
80.0 0.64452
110.0 0.48048
140.0 0.24443
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_244
______________
50.0 0.77107
80.0 0.6193
110.0 0.43634
140.0 0.10913
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_245
______________
50.0 0.73713
80.0 0.55615
110.0 0.3112
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_246
______________
50.0 0.63629
80.0 0.33438
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_247
______________
50.0 0.77488
80.0 0.62614
110.0 0.44857
140.0 0.15741
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_248
______________
50.0 0.65928
80.0 0.39225
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_249
______________
50.0 0.7527
80.0 0.58553
110.0 0.37291
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_250
______________
50.0 0.70872
80.0 0.50035
110.0 0.15143
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_251
______________
50.0 0.74107
80.0 0.56364
110.0 0.3277
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_252
______________
50.0 0.80735
80.0 0.68359
110.0 0.54482
140.0 0.37158
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_253
______________
50.0 0.51363
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_254
______________
50.0 0.69151
80.0 0.4646
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_255
______________
50.0 0.74839
80.0 0.57751
110.0 0.35681
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_256
______________
50.0 0.68313
80.0 0.44652
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_257
______________
50.0 0.76328
80.0 0.60506
110.0 0.41035
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_258
______________
50.0 0.69841
80.0 0.4791
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_259
______________
50.0 0.70313
80.0 0.48882
110.0 0.093748
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_260
______________
50.0 0.57015
80.0 -0.49924
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_261
______________
50.0 0.77381
80.0 0.62423
110.0 0.44518
140.0 0.14542
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_262
______________
50.0 0.82918
80.0 0.72114
110.0 0.60357
140.0 0.46744
170.0 0.28511
Strain_Width_Table = 5×1 table
Width_Peak_263
______________
50.0 0.55199
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_264
______________
50.0 0.71084
80.0 0.50459
110.0 0.16827
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_265
______________
50.0 0.63898
80.0 0.34154
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_266
______________
50.0 0.71682
80.0 0.51656
110.0 0.20877
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_267
______________
50.0 0.58119
80.0 0.13263
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_268
______________
50.0 0.83376
80.0 0.72891
110.0 0.61547
140.0 0.48565
170.0 0.31813
Strain_Width_Table = 5×1 table
Width_Peak_269
______________
50.0 0.76749
80.0 0.61275
110.0 0.42457
140.0 -0.49882
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_270
______________
50.0 0.57037
80.0 -0.49053
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_271
______________
50.0 0.76151
80.0 0.60182
110.0 0.40426
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_272
______________
50.0 0.68788
80.0 0.45687
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_273
______________
50.0 0.72075
80.0 0.52431
110.0 0.23174
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_274
______________
50.0 0.8156
80.0 0.69787
110.0 0.56744
140.0 0.40992
170.0 0.15336
Strain_Width_Table = 5×1 table
Width_Peak_275
______________
50.0 0.72348
80.0 0.52969
110.0 0.24667
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_276
______________
50.0 0.76484
80.0 0.60792
110.0 0.4157
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_277
______________
50.0 0.6924
80.0 0.46647
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_278
______________
50.0 0.75358
80.0 0.58716
110.0 0.37617
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_279
______________
50.0 0.81178
80.0 0.69126
110.0 0.55708
140.0 0.39259
170.0 0.087266
Strain_Width_Table = 5×1 table
Width_Peak_280
______________
50.0 0.83524
80.0 0.73141
110.0 0.6193
140.0 0.49139
170.0 0.32802
Strain_Width_Table = 5×1 table
Width_Peak_281
______________
50.0 0.83816
80.0 0.73636
110.0 0.62674
140.0 0.50265
170.0 0.34699
Strain_Width_Table = 5×1 table
Width_Peak_282
______________
50.0 0.73574
80.0 0.55349
110.0 0.30526
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_283
______________
50.0 0.66576
80.0 0.40756
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_284
______________
50.0 0.70183
80.0 0.48614
110.0 0.07423
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_285
______________
50.0 0.7247
80.0 0.53211
110.0 0.25308
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_286
______________
50.0 0.83447
80.0 0.7301
110.0 0.61729
140.0 0.48838
170.0 0.3229
Strain_Width_Table = 5×1 table
Width_Peak_287
______________
50.0 0.8275
80.0 0.71828
110.0 0.5992
140.0 0.4607
170.0 0.27208
Strain_Width_Table = 5×1 table
Width_Peak_288
______________
50.0 0.83811
80.0 0.73627
110.0 0.62659
140.0 0.50243
170.0 0.34663
Strain_Width_Table = 5×1 table
Width_Peak_289
______________
50.0 0.71904
80.0 0.52097
110.0 0.22211
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_290
______________
50.0 0.61464
80.0 0.27143
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_291
______________
50.0 0.83238
80.0 0.72657
110.0 0.61188
140.0 0.48028
170.0 0.30843
Strain_Width_Table = 5×1 table
Width_Peak_292
______________
50.0 0.79607
80.0 0.66387
110.0 0.51279
140.0 0.31281
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_293
______________
50.0 0.71168
80.0 0.50628
110.0 0.17459
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_294
______________
50.0 0.83565
80.0 0.73211
110.0 0.62036
140.0 0.49299
170.0 0.33075
Strain_Width_Table = 5×1 table
Width_Peak_295
______________
50.0 0.79241
80.0 0.65743
110.0 0.50216
140.0 0.29155
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_296
______________
50.0 0.79487
80.0 0.66178
110.0 0.50931
140.0 0.30602
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_297
______________
50.0 0.74179
80.0 0.56501
110.0 0.33067
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_298
______________
50.0 0.58742
80.0 0.16684
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_299
______________
50.0 0.69706
80.0 0.47626
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_300
______________
50.0 0.83
80.0 0.72254
110.0 0.60572
140.0 0.47076
170.0 0.29126
Strain_Width_Table = 5×1 table
Width_Peak_301
______________
50.0 0.62592
80.0 0.3056
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_302
______________
50.0 0.7379
80.0 0.55764
110.0 0.31453
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_303
______________
50.0 0.8109
80.0 0.68973
110.0 0.55463
140.0 0.38847
170.0 0.06314
Strain_Width_Table = 5×1 table
Width_Peak_304
______________
50.0 0.82984
80.0 0.72227
110.0 0.60529
140.0 0.4701
170.0 0.29005
Strain_Width_Table = 5×1 table
Width_Peak_305
______________
50.0 0.82861
80.0 0.72019
110.0 0.6021
140.0 0.46517
170.0 0.28089
Strain_Width_Table = 5×1 table
Width_Peak_306
______________
50.0 0.6082
80.0 0.2503
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_307
______________
50.0 0.70753
80.0 0.4979
110.0 0.14134
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_308
______________
50.0 0.76214
80.0 0.60297
110.0 0.40642
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_309
______________
50.0 0.72517
80.0 0.53303
110.0 0.25554
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_310
______________
50.0 0.52631
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_311
______________
50.0 0.79746
80.0 0.66629
110.0 0.51681
140.0 0.32063
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_312
______________
50.0 0.835
80.0 0.731
110.0 0.61867
140.0 0.49044
170.0 0.3264
Strain_Width_Table = 5×1 table
Width_Peak_313
______________
50.0 0.54531
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_314
______________
50.0 0.83908
80.0 0.73791
110.0 0.62906
140.0 0.50608
170.0 0.35273
Strain_Width_Table = 5×1 table
Width_Peak_315
______________
50.0 0.79542
80.0 0.66274
110.0 0.51091
140.0 0.30914
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_316
______________
50.0 0.79027
80.0 0.65364
110.0 0.49585
140.0 0.2786
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_317
______________
50.0 0.75259
80.0 0.58534
110.0 0.37253
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_318
______________
50.0 0.77571
80.0 0.62763
110.0 0.4512
140.0 0.16597
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_319
______________
50.0 0.80996
80.0 0.68811
110.0 0.55204
140.0 0.38412
170.0 -0.49592
Strain_Width_Table = 5×1 table
Width_Peak_320
______________
50.0 0.57569
80.0 0.093614
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_321
______________
50.0 0.66305
80.0 0.40128
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_322
______________
50.0 0.8344
80.0 0.72999
110.0 0.61713
140.0 0.48814
170.0 0.32248
Strain_Width_Table = 5×1 table
Width_Peak_323
______________
50.0 0.79627
80.0 0.66421
110.0 0.51336
140.0 0.31393
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_324
______________
50.0 0.6226
80.0 0.29586
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_325
______________
50.0 0.59143
80.0 0.18566
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_326
______________
50.0 0.7646
80.0 0.60747
110.0 0.41485
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_327
______________
50.0 0.81644
80.0 0.69931
110.0 0.56969
140.0 0.41364
170.0 0.1644
Strain_Width_Table = 5×1 table
Width_Peak_328
______________
50.0 0.79017
80.0 0.65345
110.0 0.49554
140.0 0.27793
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_329
______________
50.0 0.81753
80.0 0.70119
110.0 0.57264
140.0 0.41852
170.0 0.17789
Strain_Width_Table = 5×1 table
Width_Peak_330
______________
50.0 0.72875
80.0 0.54009
110.0 0.27331
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_331
______________
50.0 0.81446
80.0 0.69589
110.0 0.56436
140.0 0.40483
170.0 0.13707
Strain_Width_Table = 5×1 table
Width_Peak_332
______________
50.0 0.78623
80.0 0.64646
110.0 0.48376
140.0 0.25203
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_333
______________
50.0 0.82661
80.0 0.71676
110.0 0.59686
140.0 0.45705
170.0 0.26504
Strain_Width_Table = 5×1 table
Width_Peak_334
______________
50.0 0.83732
80.0 0.73494
110.0 0.6246
140.0 0.49947
170.0 0.34171
Strain_Width_Table = 5×1 table
Width_Peak_335
______________
50.0 0.76484
80.0 0.6079
110.0 0.41567
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_336
______________
50.0 0.82537
80.0 0.71461
110.0 0.59354
140.0 0.45186
170.0 0.25472
Strain_Width_Table = 5×1 table
Width_Peak_337
______________
50.0 0.54608
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_338
______________
50.0 0.81416
80.0 0.69537
110.0 0.56355
140.0 0.40349
170.0 0.13227
Strain_Width_Table = 5×1 table
Width_Peak_339
______________
50.0 0.83202
80.0 0.72595
110.0 0.61094
140.0 0.47884
170.0 0.3059
Strain_Width_Table = 5×1 table
Width_Peak_340
______________
50.0 0.68375
80.0 0.44789
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_341
______________
50.0 0.81167
80.0 0.69107
110.0 0.55676
140.0 0.39206
170.0 0.084646
Strain_Width_Table = 5×1 table
Width_Peak_342
______________
50.0 0.83858
80.0 0.73707
110.0 0.6278
140.0 0.50421
170.0 0.34961
Strain_Width_Table = 5×1 table
Width_Peak_343
______________
50.0 0.76904
80.0 0.61559
110.0 0.42967
140.0 0.071552
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_344
______________
50.0 0.77749
80.0 0.63082
110.0 0.45685
140.0 0.18327
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_345
______________
50.0 0.82772
80.0 0.71866
110.0 0.59979
140.0 0.46159
170.0 0.27384
Strain_Width_Table = 5×1 table
Width_Peak_346
______________
50.0 0.78448
80.0 0.64336
110.0 0.47849
140.0 0.23993
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_347
______________
50.0 0.6607
80.0 0.39567
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_348
______________
50.0 0.8335
80.0 0.72847
110.0 0.6148
140.0 0.48465
170.0 0.31633
Strain_Width_Table = 5×1 table
Width_Peak_349
______________
50.0 0.82979
80.0 0.72218
110.0 0.60516
140.0 0.46989
170.0 0.28966
Strain_Width_Table = 5×1 table
Width_Peak_350
______________
50.0 0.7859
80.0 0.64589
110.0 0.48278
140.0 0.24977
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_351
______________
50.0 0.80677
80.0 0.68258
110.0 0.5432
140.0 0.36872
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_352
______________
50.0 0.82414
80.0 0.7125
110.0 0.59029
140.0 0.44676
170.0 0.2442
Strain_Width_Table = 5×1 table
Width_Peak_353
______________
50.0 0.77219
80.0 0.62133
110.0 0.44005
140.0 0.12532
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_354
______________
50.0 0.8075
80.0 0.68384
110.0 0.54522
140.0 0.37228
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_355
______________
50.0 0.69337
80.0 0.46852
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_356
______________
50.0 0.8073
80.0 0.68351
110.0 0.54469
140.0 0.37135
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_357
______________
50.0 0.81558
80.0 0.69783
110.0 0.56738
140.0 0.40982
170.0 0.15304
Strain_Width_Table = 5×1 table
Width_Peak_358
______________
50.0 0.67804
80.0 0.43535
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_359
______________
50.0 0.69576
80.0 0.47353
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_360
______________
50.0 0.55118
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_361
______________
50.0 0.73838
80.0 0.55857
110.0 0.31659
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_362
______________
50.0 0.79702
80.0 0.66553
110.0 0.51555
140.0 0.3182
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_363
______________
50.0 0.80821
80.0 0.68508
110.0 0.54721
140.0 0.37578
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_364
______________
50.0 0.65693
80.0 0.38667
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_365
______________
50.0 0.75371
80.0 0.58741
110.0 0.37667
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_366
______________
50.0 0.78668
80.0 0.64727
110.0 0.48511
140.0 0.25515
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_367
______________
50.0 0.75114
80.0 0.58266
110.0 0.36715
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_368
______________
50.0 0.77038
80.0 0.61804
110.0 0.43407
140.0 0.098319
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_369
______________
50.0 0.75283
80.0 0.58578
110.0 0.37342
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_370
______________
50.0 0.74131
80.0 0.56411
110.0 0.32871
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_371
______________
50.0 0.83648
80.0 0.7335
110.0 0.62245
140.0 0.49618
170.0 0.3362
Strain_Width_Table = 5×1 table
Width_Peak_372
______________
50.0 0.80611
80.0 0.68144
110.0 0.54137
140.0 0.36551
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_373
______________
50.0 0.77731
80.0 0.63049
110.0 0.45626
140.0 0.18163
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_374
______________
50.0 0.76706
80.0 0.61197
110.0 0.42316
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_375
______________
50.0 0.76617
80.0 0.61034
110.0 0.42023
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_376
______________
50.0 0.70894
80.0 0.50079
110.0 0.15327
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_377
______________
50.0 0.80557
80.0 0.68052
110.0 0.5399
140.0 0.36292
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_378
______________
50.0 0.80848
80.0 0.68555
110.0 0.54795
140.0 0.37709
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_379
______________
50.0 0.74652
80.0 0.57397
110.0 0.34954
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_380
______________
50.0 0.79613
80.0 0.66396
110.0 0.51296
140.0 0.31313
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_381
______________
50.0 0.54359
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_382
______________
50.0 0.73355
80.0 0.5493
110.0 0.29562
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_383
______________
50.0 0.66728
80.0 0.41108
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_384
______________
50.0 0.80727
80.0 0.68346
110.0 0.5446
140.0 0.37119
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_385
______________
50.0 0.60306
80.0 0.23209
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_386
______________
50.0 0.6838
80.0 0.448
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_387
______________
50.0 0.81416
80.0 0.69537
110.0 0.56355
140.0 0.40349
170.0 0.13228
Strain_Width_Table = 5×1 table
Width_Peak_388
______________
50.0 0.65747
80.0 0.38797
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_389
______________
50.0 0.75746
80.0 0.59434
110.0 0.39007
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_390
______________
50.0 0.5927
80.0 0.19118
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_391
______________
50.0 0.774
80.0 0.62458
110.0 0.44579
140.0 0.1476
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_392
______________
50.0 0.71837
80.0 0.51966
110.0 0.21824
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_393
______________
50.0 0.66211
80.0 0.39906
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_394
______________
50.0 0.77537
80.0 0.62702
110.0 0.45011
140.0 0.16254
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_395
______________
50.0 0.77422
80.0 0.62496
110.0 0.44647
140.0 0.14999
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_396
______________
50.0 0.8334
80.0 0.7283
110.0 0.61454
140.0 0.48426
170.0 0.31563
Strain_Width_Table = 5×1 table
Width_Peak_397
______________
50.0 0.77223
80.0 0.62139
110.0 0.44016
140.0 0.12577
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_398
______________
50.0 0.69683
80.0 0.47578
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_399
______________
50.0 0.80917
80.0 0.68673
110.0 0.54983
140.0 0.3804
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_400
______________
50.0 0.56599
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_401
______________
50.0 0.73381
80.0 0.5498
110.0 0.2968
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_402
______________
50.0 0.81627
80.0 0.69902
110.0 0.56923
140.0 0.41289
170.0 0.16233
Strain_Width_Table = 5×1 table
Width_Peak_403
______________
50.0 0.80423
80.0 0.67817
110.0 0.53609
140.0 0.3562
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_404
______________
50.0 0.83322
80.0 0.728
110.0 0.61407
140.0 0.48356
170.0 0.31436
Strain_Width_Table = 5×1 table
Width_Peak_405
______________
50.0 0.81793
80.0 0.70187
110.0 0.57371
140.0 0.42029
170.0 0.18252
Strain_Width_Table = 5×1 table
Width_Peak_406
______________
50.0 0.81681
80.0 0.69995
110.0 0.57068
140.0 0.41528
170.0 0.16894
Strain_Width_Table = 5×1 table
Width_Peak_407
______________
50.0 0.66898
80.0 0.41501
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_408
______________
50.0 0.73313
80.0 0.54849
110.0 0.2937
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_409
______________
50.0 0.82982
80.0 0.72224
110.0 0.60524
140.0 0.47003
170.0 0.28991
Strain_Width_Table = 5×1 table
Width_Peak_410
______________
50.0 0.78147
80.0 0.63797
110.0 0.46917
140.0 0.2171
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_411
______________
50.0 0.57284
80.0 0.065039
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_412
______________
50.0 0.70056
80.0 0.48352
110.0 0.047969
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_413
______________
50.0 0.76086
80.0 0.60063
110.0 0.40205
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_414
______________
50.0 0.80684
80.0 0.6827
110.0 0.5434
140.0 0.36908
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_415
______________
50.0 0.76791
80.0 0.61352
110.0 0.42595
140.0 0.037457
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_416
______________
50.0 0.78681
80.0 0.64749
110.0 0.4855
140.0 0.25604
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_417
______________
50.0 0.77641
80.0 0.62888
110.0 0.45341
140.0 0.17289
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_418
______________
50.0 0.68769
80.0 0.45646
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_419
______________
50.0 0.82391
80.0 0.71211
110.0 0.58969
140.0 0.44582
170.0 0.24226
Strain_Width_Table = 5×1 table
Width_Peak_420
______________
50.0 0.78691
80.0 0.64768
110.0 0.48581
140.0 0.25677
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_421
______________
50.0 0.58447
80.0 0.15157
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_422
______________
50.0 0.82577
80.0 0.71531
110.0 0.59462
140.0 0.45355
170.0 0.25819
Strain_Width_Table = 5×1 table
Width_Peak_423
______________
50.0 0.66024
80.0 0.39455
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_424
______________
50.0 0.73487
80.0 0.55182
110.0 0.30152
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_425
______________
50.0 0.75046
80.0 0.5814
110.0 0.36464
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_426
______________
50.0 0.79455
80.0 0.66122
110.0 0.50838
140.0 0.3042
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_427
______________
50.0 0.57356
80.0 0.073169
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_428
______________
50.0 0.64477
80.0 0.35663
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_429
______________
50.0 0.80634
80.0 0.68184
110.0 0.54202
140.0 0.36664
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_430
______________
50.0 0.67704
80.0 0.43313
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_431
______________
50.0 0.60314
80.0 0.23239
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_432
______________
50.0 0.79681
80.0 0.66516
110.0 0.51494
140.0 0.317
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_433
______________
50.0 0.83156
80.0 0.72517
110.0 0.60975
140.0 0.47699
170.0 0.30268
Strain_Width_Table = 5×1 table
Width_Peak_434
______________
50.0 0.83064
80.0 0.72362
110.0 0.60737
140.0 0.47332
170.0 0.29602
Strain_Width_Table = 5×1 table
Width_Peak_435
______________
50.0 0.83153
80.0 0.72513
110.0 0.60969
140.0 0.4769
170.0 0.30251
Strain_Width_Table = 5×1 table
Width_Peak_436
______________
50.0 0.83383
80.0 0.72902
110.0 0.61563
140.0 0.4859
170.0 0.31858
Strain_Width_Table = 5×1 table
Width_Peak_437
______________
50.0 0.72647
80.0 0.5356
110.0 0.26221
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_438
______________
50.0 0.82282
80.0 0.71024
110.0 0.58679
140.0 0.44127
170.0 0.23231
Strain_Width_Table = 5×1 table
Width_Peak_439
______________
50.0 0.79345
80.0 0.65928
110.0 0.50519
140.0 0.29783
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_440
______________
50.0 0.62391
80.0 0.29983
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_441
______________
50.0 0.83027
80.0 0.723
110.0 0.60641
140.0 0.47183
170.0 0.29326
Strain_Width_Table = 5×1 table
Width_Peak_442
______________
50.0 0.70936
80.0 0.50164
110.0 0.15687
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_443
______________
50.0 0.72494
80.0 0.53257
110.0 0.25432
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_444
______________
50.0 0.80462
80.0 0.67885
110.0 0.53719
140.0 0.35818
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_445
______________
50.0 0.58998
80.0 0.17927
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_446
______________
50.0 0.76748
80.0 0.61273
110.0 0.42453
140.0 -0.49974
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_447
______________
50.0 0.82236
80.0 0.70945
110.0 0.58557
140.0 0.43934
170.0 0.22806
Strain_Width_Table = 5×1 table
Width_Peak_448
______________
50.0 0.81793
80.0 0.70186
110.0 0.5737
140.0 0.42027
170.0 0.18247
Strain_Width_Table = 5×1 table
Width_Peak_449
______________
50.0 0.82108
80.0 0.70726
110.0 0.58218
140.0 0.43383
170.0 0.21587
Strain_Width_Table = 5×1 table
Width_Peak_450
______________
50.0 0.83245
80.0 0.72668
110.0 0.61206
140.0 0.48055
170.0 0.30893
Strain_Width_Table = 5×1 table
Width_Peak_451
______________
50.0 0.70975
80.0 0.50242
110.0 0.16015
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_452
______________
50.0 0.8032
80.0 0.67634
110.0 0.53315
140.0 0.3509
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_453
______________
50.0 0.72964
80.0 0.54179
110.0 0.27763
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_454
______________
50.0 0.53451
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_455
______________
50.0 0.76046
80.0 0.59989
110.0 0.40067
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_456
______________
50.0 0.71042
80.0 0.50376
110.0 0.16517
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_457
______________
50.0 0.79887
80.0 0.66875
110.0 0.52088
140.0 0.32819
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_458
______________
50.0 0.7236
80.0 0.52994
110.0 0.24731
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_459
______________
50.0 0.79637
80.0 0.66438
110.0 0.51364
140.0 0.31447
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_460
______________
50.0 0.75414
80.0 0.58819
110.0 0.37824
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_461
______________
50.0 0.78458
80.0 0.64353
110.0 0.47878
140.0 0.2406
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_462
______________
50.0 0.769
80.0 0.61552
110.0 0.42954
140.0 0.070662
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_463
______________
50.0 0.76098
80.0 0.60084
110.0 0.40244
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_464
______________
50.0 0.8223
80.0 0.70935
110.0 0.58541
140.0 0.43909
170.0 0.22751
Strain_Width_Table = 5×1 table
Width_Peak_465
______________
50.0 0.66494
80.0 0.40565
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_466
______________
50.0 0.68749
80.0 0.45603
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_467
______________
50.0 0.53451
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_468
______________
50.0 0.72605
80.0 0.53477
110.0 0.26014
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_469
______________
50.0 0.81384
80.0 0.69482
110.0 0.56269
140.0 0.40206
170.0 0.12712
Strain_Width_Table = 5×1 table
Width_Peak_470
______________
50.0 0.83101
80.0 0.72425
110.0 0.60833
140.0 0.4748
170.0 0.29877
Strain_Width_Table = 5×1 table
Width_Peak_471
______________
50.0 0.50171
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_472
______________
50.0 0.83907
80.0 0.73789
110.0 0.62903
140.0 0.50604
170.0 0.35266
Strain_Width_Table = 5×1 table
Width_Peak_473
______________
50.0 0.63431
80.0 0.32902
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_474
______________
50.0 0.57174
80.0 0.049538
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_475
______________
50.0 0.64902
80.0 0.36735
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_476
______________
50.0 0.65959
80.0 0.393
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_477
______________
50.0 0.83912
80.0 0.73799
110.0 0.62917
140.0 0.50626
170.0 0.35302
Strain_Width_Table = 5×1 table
Width_Peak_478
______________
50.0 0.57788
80.0 0.11066
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_479
______________
50.0 0.70652
80.0 0.49582
110.0 0.1317
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_480
______________
50.0 0.81882
80.0 0.70338
110.0 0.57611
140.0 0.4241
170.0 0.19235
Strain_Width_Table = 5×1 table
Width_Peak_481
______________
50.0 0.68514
80.0 0.4509
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_482
______________
50.0 0.76924
80.0 0.61596
110.0 0.43033
140.0 0.076371
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_483
______________
50.0 0.52704
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_484
______________
50.0 0.82691
80.0 0.71727
110.0 0.59765
140.0 0.4583
170.0 0.26742
Strain_Width_Table = 5×1 table
Width_Peak_485
______________
50.0 0.58937
80.0 0.17632
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_486
______________
50.0 0.49407
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_487
______________
50.0 0.83574
80.0 0.73225
110.0 0.62058
140.0 0.49331
170.0 0.33131
Strain_Width_Table = 5×1 table
Width_Peak_488
______________
50.0 0.56205
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_489
______________
50.0 0.6273
80.0 0.30955
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_490
______________
50.0 0.65
80.0 0.36977
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_491
______________
50.0 0.61935
80.0 0.28603
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_492
______________
50.0 0.54478
80.0 0
110.0 0
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_493
______________
50.0 0.78101
80.0 0.63715
110.0 0.46776
140.0 0.21338
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_494
______________
50.0 0.73127
80.0 0.54491
110.0 0.2852
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_495
______________
50.0 0.83064
80.0 0.72362
110.0 0.60736
140.0 0.4733
170.0 0.296
Strain_Width_Table = 5×1 table
Width_Peak_496
______________
50.0 0.77128
80.0 0.61969
110.0 0.43704
140.0 0.11235
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_497
______________
50.0 0.77084
80.0 0.61888
110.0 0.4356
140.0 0.10568
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_498
______________
50.0 0.83426
80.0 0.72975
110.0 0.61676
140.0 0.48759
170.0 0.32154
Strain_Width_Table = 5×1 table
Width_Peak_499
______________
50.0 0.73507
80.0 0.55221
110.0 0.30238
140.0 0
170.0 0
Strain_Width_Table = 5×1 table
Width_Peak_500
______________
50.0 0.76729
80.0 0.61239
110.0 0.42391
140.0 0
170.0 0
Cvert = cat(2,Results{:}) % Horizontally Copncatenate The Tables
Cvert = 5×500 table
Width_Peak_001 Width_Peak_002 Width_Peak_003 Width_Peak_004 Width_Peak_005 Width_Peak_006 Width_Peak_007 Width_Peak_008 Width_Peak_009 Width_Peak_010 Width_Peak_011 Width_Peak_012 Width_Peak_013 Width_Peak_014 Width_Peak_015 Width_Peak_016 Width_Peak_017 Width_Peak_018 Width_Peak_019 Width_Peak_020 Width_Peak_021 Width_Peak_022 Width_Peak_023 Width_Peak_024 Width_Peak_025 Width_Peak_026 Width_Peak_027 Width_Peak_028 Width_Peak_029 Width_Peak_030 Width_Peak_031 Width_Peak_032 Width_Peak_033 Width_Peak_034 Width_Peak_035 Width_Peak_036 Width_Peak_037 Width_Peak_038 Width_Peak_039 Width_Peak_040 Width_Peak_041 Width_Peak_042 Width_Peak_043 Width_Peak_044 Width_Peak_045 Width_Peak_046 Width_Peak_047 Width_Peak_048 Width_Peak_049 Width_Peak_050 Width_Peak_051 Width_Peak_052 Width_Peak_053 Width_Peak_054 Width_Peak_055 Width_Peak_056 Width_Peak_057 Width_Peak_058 Width_Peak_059 Width_Peak_060 Width_Peak_061 Width_Peak_062 Width_Peak_063 Width_Peak_064 Width_Peak_065 Width_Peak_066 Width_Peak_067 Width_Peak_068 Width_Peak_069 Width_Peak_070 Width_Peak_071 Width_Peak_072 Width_Peak_073 Width_Peak_074 Width_Peak_075 Width_Peak_076 Width_Peak_077 Width_Peak_078 Width_Peak_079 Width_Peak_080 Width_Peak_081 Width_Peak_082 Width_Peak_083 Width_Peak_084 Width_Peak_085 Width_Peak_086 Width_Peak_087 Width_Peak_088 Width_Peak_089 Width_Peak_090 Width_Peak_091 Width_Peak_092 Width_Peak_093 Width_Peak_094 Width_Peak_095 Width_Peak_096 Width_Peak_097 Width_Peak_098 Width_Peak_099 Width_Peak_100 Width_Peak_101 Width_Peak_102 Width_Peak_103 Width_Peak_104 Width_Peak_105 Width_Peak_106 Width_Peak_107 Width_Peak_108 Width_Peak_109 Width_Peak_110 Width_Peak_111 Width_Peak_112 Width_Peak_113 Width_Peak_114 Width_Peak_115 Width_Peak_116 Width_Peak_117 Width_Peak_118 Width_Peak_119 Width_Peak_120 Width_Peak_121 Width_Peak_122 Width_Peak_123 Width_Peak_124 Width_Peak_125 Width_Peak_126 Width_Peak_127 Width_Peak_128 Width_Peak_129 Width_Peak_130 Width_Peak_131 Width_Peak_132 Width_Peak_133 Width_Peak_134 Width_Peak_135 Width_Peak_136 Width_Peak_137 Width_Peak_138 Width_Peak_139 Width_Peak_140 Width_Peak_141 Width_Peak_142 Width_Peak_143 Width_Peak_144 Width_Peak_145 Width_Peak_146 Width_Peak_147 Width_Peak_148 Width_Peak_149 Width_Peak_150 Width_Peak_151 Width_Peak_152 Width_Peak_153 Width_Peak_154 Width_Peak_155 Width_Peak_156 Width_Peak_157 Width_Peak_158 Width_Peak_159 Width_Peak_160 Width_Peak_161 Width_Peak_162 Width_Peak_163 Width_Peak_164 Width_Peak_165 Width_Peak_166 Width_Peak_167 Width_Peak_168 Width_Peak_169 Width_Peak_170 Width_Peak_171 Width_Peak_172 Width_Peak_173 Width_Peak_174 Width_Peak_175 Width_Peak_176 Width_Peak_177 Width_Peak_178 Width_Peak_179 Width_Peak_180 Width_Peak_181 Width_Peak_182 Width_Peak_183 Width_Peak_184 Width_Peak_185 Width_Peak_186 Width_Peak_187 Width_Peak_188 Width_Peak_189 Width_Peak_190 Width_Peak_191 Width_Peak_192 Width_Peak_193 Width_Peak_194 Width_Peak_195 Width_Peak_196 Width_Peak_197 Width_Peak_198 Width_Peak_199 Width_Peak_200 Width_Peak_201 Width_Peak_202 Width_Peak_203 Width_Peak_204 Width_Peak_205 Width_Peak_206 Width_Peak_207 Width_Peak_208 Width_Peak_209 Width_Peak_210 Width_Peak_211 Width_Peak_212 Width_Peak_213 Width_Peak_214 Width_Peak_215 Width_Peak_216 Width_Peak_217 Width_Peak_218 Width_Peak_219 Width_Peak_220 Width_Peak_221 Width_Peak_222 Width_Peak_223 Width_Peak_224 Width_Peak_225 Width_Peak_226 Width_Peak_227 Width_Peak_228 Width_Peak_229 Width_Peak_230 Width_Peak_231 Width_Peak_232 Width_Peak_233 Width_Peak_234 Width_Peak_235 Width_Peak_236 Width_Peak_237 Width_Peak_238 Width_Peak_239 Width_Peak_240 Width_Peak_241 Width_Peak_242 Width_Peak_243 Width_Peak_244 Width_Peak_245 Width_Peak_246 Width_Peak_247 Width_Peak_248 Width_Peak_249 Width_Peak_250 Width_Peak_251 Width_Peak_252 Width_Peak_253 Width_Peak_254 Width_Peak_255 Width_Peak_256 Width_Peak_257 Width_Peak_258 Width_Peak_259 Width_Peak_260 Width_Peak_261 Width_Peak_262 Width_Peak_263 Width_Peak_264 Width_Peak_265 Width_Peak_266 Width_Peak_267 Width_Peak_268 Width_Peak_269 Width_Peak_270 Width_Peak_271 Width_Peak_272 Width_Peak_273 Width_Peak_274 Width_Peak_275 Width_Peak_276 Width_Peak_277 Width_Peak_278 Width_Peak_279 Width_Peak_280 Width_Peak_281 Width_Peak_282 Width_Peak_283 Width_Peak_284 Width_Peak_285 Width_Peak_286 Width_Peak_287 Width_Peak_288 Width_Peak_289 Width_Peak_290 Width_Peak_291 Width_Peak_292 Width_Peak_293 Width_Peak_294 Width_Peak_295 Width_Peak_296 Width_Peak_297 Width_Peak_298 Width_Peak_299 Width_Peak_300 Width_Peak_301 Width_Peak_302 Width_Peak_303 Width_Peak_304 Width_Peak_305 Width_Peak_306 Width_Peak_307 Width_Peak_308 Width_Peak_309 Width_Peak_310 Width_Peak_311 Width_Peak_312 Width_Peak_313 Width_Peak_314 Width_Peak_315 Width_Peak_316 Width_Peak_317 Width_Peak_318 Width_Peak_319 Width_Peak_320 Width_Peak_321 Width_Peak_322 Width_Peak_323 Width_Peak_324 Width_Peak_325 Width_Peak_326 Width_Peak_327 Width_Peak_328 Width_Peak_329 Width_Peak_330 Width_Peak_331 Width_Peak_332 Width_Peak_333 Width_Peak_334 Width_Peak_335 Width_Peak_336 Width_Peak_337 Width_Peak_338 Width_Peak_339 Width_Peak_340 Width_Peak_341 Width_Peak_342 Width_Peak_343 Width_Peak_344 Width_Peak_345 Width_Peak_346 Width_Peak_347 Width_Peak_348 Width_Peak_349 Width_Peak_350 Width_Peak_351 Width_Peak_352 Width_Peak_353 Width_Peak_354 Width_Peak_355 Width_Peak_356 Width_Peak_357 Width_Peak_358 Width_Peak_359 Width_Peak_360 Width_Peak_361 Width_Peak_362 Width_Peak_363 Width_Peak_364 Width_Peak_365 Width_Peak_366 Width_Peak_367 Width_Peak_368 Width_Peak_369 Width_Peak_370 Width_Peak_371 Width_Peak_372 Width_Peak_373 Width_Peak_374 Width_Peak_375 Width_Peak_376 Width_Peak_377 Width_Peak_378 Width_Peak_379 Width_Peak_380 Width_Peak_381 Width_Peak_382 Width_Peak_383 Width_Peak_384 Width_Peak_385 Width_Peak_386 Width_Peak_387 Width_Peak_388 Width_Peak_389 Width_Peak_390 Width_Peak_391 Width_Peak_392 Width_Peak_393 Width_Peak_394 Width_Peak_395 Width_Peak_396 Width_Peak_397 Width_Peak_398 Width_Peak_399 Width_Peak_400 Width_Peak_401 Width_Peak_402 Width_Peak_403 Width_Peak_404 Width_Peak_405 Width_Peak_406 Width_Peak_407 Width_Peak_408 Width_Peak_409 Width_Peak_410 Width_Peak_411 Width_Peak_412 Width_Peak_413 Width_Peak_414 Width_Peak_415 Width_Peak_416 Width_Peak_417 Width_Peak_418 Width_Peak_419 Width_Peak_420 Width_Peak_421 Width_Peak_422 Width_Peak_423 Width_Peak_424 Width_Peak_425 Width_Peak_426 Width_Peak_427 Width_Peak_428 Width_Peak_429 Width_Peak_430 Width_Peak_431 Width_Peak_432 Width_Peak_433 Width_Peak_434 Width_Peak_435 Width_Peak_436 Width_Peak_437 Width_Peak_438 Width_Peak_439 Width_Peak_440 Width_Peak_441 Width_Peak_442 Width_Peak_443 Width_Peak_444 Width_Peak_445 Width_Peak_446 Width_Peak_447 Width_Peak_448 Width_Peak_449 Width_Peak_450 Width_Peak_451 Width_Peak_452 Width_Peak_453 Width_Peak_454 Width_Peak_455 Width_Peak_456 Width_Peak_457 Width_Peak_458 Width_Peak_459 Width_Peak_460 Width_Peak_461 Width_Peak_462 Width_Peak_463 Width_Peak_464 Width_Peak_465 Width_Peak_466 Width_Peak_467 Width_Peak_468 Width_Peak_469 Width_Peak_470 Width_Peak_471 Width_Peak_472 Width_Peak_473 Width_Peak_474 Width_Peak_475 Width_Peak_476 Width_Peak_477 Width_Peak_478 Width_Peak_479 Width_Peak_480 Width_Peak_481 Width_Peak_482 Width_Peak_483 Width_Peak_484 Width_Peak_485 Width_Peak_486 Width_Peak_487 Width_Peak_488 Width_Peak_489 Width_Peak_490 Width_Peak_491 Width_Peak_492 Width_Peak_493 Width_Peak_494 Width_Peak_495 Width_Peak_496 Width_Peak_497 Width_Peak_498 Width_Peak_499 Width_Peak_500
______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________
50.0 0.57659 0.55808 0.74481 0.83706 0.82163 0.82751 0.81369 0.66243 0.57612 0.5943 0.74702 0.69408 0.65059 0.73231 0.71366 0.73075 0.56298 0.69269 0.54226 0.62097 0.81367 0.7824 0.76869 0.78608 0.606 0.8271 0.79042 0.60281 0.76579 0.82947 0.80681 0.7994 0.53018 0.81169 0.80026 0.5062 0.74161 0.70997 0.54446 0.8134 0.77456 0.61401 0.68876 0.72557 0.82365 0.60672 0.62939 0.72102 0.66571 0.71552 0.83671 0.75542 0.5032 0.8153 0.65365 0.77526 0.83678 0.81923 0.81174 0.72841 0.67058 0.72089 0.79925 0.6493 0.7134 0.59912 0.80511 0.76398 0.83555 0.81949 0.83023 0.61484 0.81832 0.71409 0.67611 0.82439 0.82131 0.61674 0.83752 0.74857 0.72104 0.56123 0.66393 0.54725 0.51707 0.80057 0.82637 0.83579 0.63836 0.68059 0.68421 0.83474 0.83377 0.6265 0.79114 0.82264 0.82858 0.81891 0.75694 0.83654 0.79256 0.66477 0.75083 0.83367 0.72936 0.6791 0.78981 0.76677 0.7765 0.76756 0.58038 0.80993 0.82844 0.81562 0.82069 0.54019 0.81426 0.56608 0.77228 0.74927 0.62365 0.62734 0.72853 0.57334 0.8341 0.78021 0.77503 0.57501 0.81165 0.53888 0.71409 0.8005 0.70398 0.69728 0.73812 0.75567 0.81834 0.77027 0.64359 0.80306 0.76396 0.82813 0.76323 0.79689 0.64048 0.82966 0.70288 0.77177 0.65707 0.8326 0.7877 0.7408 0.50636 0.73841 0.8258 0.56695 0.78667 0.70212 0.71163 0.65844 0.4952 0.75907 0.75634 0.75497 0.77549 0.68876 0.76761 0.67888 0.74633 0.73983 0.63965 0.72103 0.83879 0.7361 0.6183 0.8127 0.65747 0.73576 0.81759 0.82658 0.75051 0.63319 0.61565 0.80579 0.82431 0.62298 0.78154 0.59983 0.69172 0.69146 0.72444 0.83898 0.80003 0.62685 0.82861 0.79468 0.79319 0.77075 0.77803 0.78784 0.57145 0.57805 0.59135 0.83705 0.5272 0.80656 0.76641 0.71598 0.72977 0.71118 0.77876 0.79281 0.74826 0.79699 0.83869 0.71219 0.77809 0.74283 0.70105 0.74248 0.81384 0.83859 0.6677 0.59667 0.52958 0.74433 0.71052 0.7772 0.83385 0.79542 0.55551 0.80892 0.71168 0.81026 0.63723 0.63124 0.74356 0.53742 0.78062 0.81394 0.72273 0.8301 0.78513 0.77107 0.73713 0.63629 0.77488 0.65928 0.7527 0.70872 0.74107 0.80735 0.51363 0.69151 0.74839 0.68313 0.76328 0.69841 0.70313 0.57015 0.77381 0.82918 0.55199 0.71084 0.63898 0.71682 0.58119 0.83376 0.76749 0.57037 0.76151 0.68788 0.72075 0.8156 0.72348 0.76484 0.6924 0.75358 0.81178 0.83524 0.83816 0.73574 0.66576 0.70183 0.7247 0.83447 0.8275 0.83811 0.71904 0.61464 0.83238 0.79607 0.71168 0.83565 0.79241 0.79487 0.74179 0.58742 0.69706 0.83 0.62592 0.7379 0.8109 0.82984 0.82861 0.6082 0.70753 0.76214 0.72517 0.52631 0.79746 0.835 0.54531 0.83908 0.79542 0.79027 0.75259 0.77571 0.80996 0.57569 0.66305 0.8344 0.79627 0.6226 0.59143 0.7646 0.81644 0.79017 0.81753 0.72875 0.81446 0.78623 0.82661 0.83732 0.76484 0.82537 0.54608 0.81416 0.83202 0.68375 0.81167 0.83858 0.76904 0.77749 0.82772 0.78448 0.6607 0.8335 0.82979 0.7859 0.80677 0.82414 0.77219 0.8075 0.69337 0.8073 0.81558 0.67804 0.69576 0.55118 0.73838 0.79702 0.80821 0.65693 0.75371 0.78668 0.75114 0.77038 0.75283 0.74131 0.83648 0.80611 0.77731 0.76706 0.76617 0.70894 0.80557 0.80848 0.74652 0.79613 0.54359 0.73355 0.66728 0.80727 0.60306 0.6838 0.81416 0.65747 0.75746 0.5927 0.774 0.71837 0.66211 0.77537 0.77422 0.8334 0.77223 0.69683 0.80917 0.56599 0.73381 0.81627 0.80423 0.83322 0.81793 0.81681 0.66898 0.73313 0.82982 0.78147 0.57284 0.70056 0.76086 0.80684 0.76791 0.78681 0.77641 0.68769 0.82391 0.78691 0.58447 0.82577 0.66024 0.73487 0.75046 0.79455 0.57356 0.64477 0.80634 0.67704 0.60314 0.79681 0.83156 0.83064 0.83153 0.83383 0.72647 0.82282 0.79345 0.62391 0.83027 0.70936 0.72494 0.80462 0.58998 0.76748 0.82236 0.81793 0.82108 0.83245 0.70975 0.8032 0.72964 0.53451 0.76046 0.71042 0.79887 0.7236 0.79637 0.75414 0.78458 0.769 0.76098 0.8223 0.66494 0.68749 0.53451 0.72605 0.81384 0.83101 0.50171 0.83907 0.63431 0.57174 0.64902 0.65959 0.83912 0.57788 0.70652 0.81882 0.68514 0.76924 0.52704 0.82691 0.58937 0.49407 0.83574 0.56205 0.6273 0.65 0.61935 0.54478 0.78101 0.73127 0.83064 0.77128 0.77084 0.83426 0.73507 0.76729
80.0 0.10127 0 0.57073 0.73449 0.70819 0.7183 0.69456 0.39983 0.097433 0.19814 0.57493 0.47001 0.37125 0.54691 0.51025 0.54392 0 0.46709 0 0.2909 0.69453 0.63965 0.61495 0.6462 0.24275 0.71759 0.6539 0.23118 0.60965 0.72164 0.68266 0.66967 0 0.6911 0.67118 0 0.56467 0.50285 0 0.69406 0.62558 0.26944 0.45878 0.53382 0.71167 0.24521 0.31552 0.52485 0.40743 0.51396 0.73391 0.59056 0 0.69734 0.37884 0.62683 0.73402 0.70408 0.69119 0.53943 0.41872 0.52459 0.66941 0.36803 0.50971 0.21736 0.67971 0.60634 0.73193 0.70452 0.72293 0.27207 0.70252 0.51109 0.43105 0.71294 0.70764 0.27812 0.73527 0.57785 0.5249 0 0.40333 0 0 0.67171 0.71635 0.73234 0.33997 0.441 0.44888 0.73057 0.72892 0.30724 0.65519 0.70992 0.72013 0.70354 0.59338 0.73361 0.6577 0.40527 0.58208 0.72875 0.54127 0.43771 0.65282 0.61144 0.62905 0.61288 0.12754 0.68806 0.71989 0.69789 0.70658 0 0.69555 0 0.62149 0.57919 0.29905 0.30965 0.53965 0.07071 0.72949 0.6357 0.62641 0.087579 0.69103 0 0.51111 0.67159 0.49057 0.47673 0.55805 0.59103 0.70257 0.61784 0.35354 0.6761 0.6063 0.71936 0.60497 0.6653 0.34541 0.72195 0.48831 0.62058 0.38701 0.72695 0.64907 0.56314 0 0.55862 0.71535 0 0.64724 0.48675 0.50617 0.39027 0 0.59732 0.59227 0.58974 0.62723 0.45878 0.61297 0.43721 0.57362 0.5613 0.34327 0.52487 0.73743 0.55419 0.28288 0.69285 0.38795 0.55354 0.70129 0.7167 0.5815 0.32601 0.27466 0.68089 0.7128 0.297 0.63811 0.22013 0.46505 0.46451 0.53159 0.73774 0.67076 0.30825 0.72018 0.66144 0.65882 0.61872 0.63178 0.64932 0.044851 0.11189 0.18531 0.73447 0 0.68222 0.61078 0.51489 0.54205 0.50528 0.63309 0.65816 0.57727 0.66547 0.73725 0.50731 0.63189 0.56699 0.48452 0.56632 0.69482 0.73708 0.41205 0.20768 0 0.56982 0.50395 0.63029 0.72905 0.66273 0 0.68631 0.50629 0.68862 0.33693 0.32075 0.56836 0 0.63644 0.695 0.52822 0.72271 0.64452 0.6193 0.55615 0.33438 0.62614 0.39225 0.58553 0.50035 0.56364 0.68359 0 0.4646 0.57751 0.44652 0.60506 0.4791 0.48882 -0.49924 0.62423 0.72114 0 0.50459 0.34154 0.51656 0.13263 0.72891 0.61275 -0.49053 0.60182 0.45687 0.52431 0.69787 0.52969 0.60792 0.46647 0.58716 0.69126 0.73141 0.73636 0.55349 0.40756 0.48614 0.53211 0.7301 0.71828 0.73627 0.52097 0.27143 0.72657 0.66387 0.50628 0.73211 0.65743 0.66178 0.56501 0.16684 0.47626 0.72254 0.3056 0.55764 0.68973 0.72227 0.72019 0.2503 0.4979 0.60297 0.53303 0 0.66629 0.731 0 0.73791 0.66274 0.65364 0.58534 0.62763 0.68811 0.093614 0.40128 0.72999 0.66421 0.29586 0.18566 0.60747 0.69931 0.65345 0.70119 0.54009 0.69589 0.64646 0.71676 0.73494 0.6079 0.71461 0 0.69537 0.72595 0.44789 0.69107 0.73707 0.61559 0.63082 0.71866 0.64336 0.39567 0.72847 0.72218 0.64589 0.68258 0.7125 0.62133 0.68384 0.46852 0.68351 0.69783 0.43535 0.47353 0 0.55857 0.66553 0.68508 0.38667 0.58741 0.64727 0.58266 0.61804 0.58578 0.56411 0.7335 0.68144 0.63049 0.61197 0.61034 0.50079 0.68052 0.68555 0.57397 0.66396 0 0.5493 0.41108 0.68346 0.23209 0.448 0.69537 0.38797 0.59434 0.19118 0.62458 0.51966 0.39906 0.62702 0.62496 0.7283 0.62139 0.47578 0.68673 0 0.5498 0.69902 0.67817 0.728 0.70187 0.69995 0.41501 0.54849 0.72224 0.63797 0.065039 0.48352 0.60063 0.6827 0.61352 0.64749 0.62888 0.45646 0.71211 0.64768 0.15157 0.71531 0.39455 0.55182 0.5814 0.66122 0.073169 0.35663 0.68184 0.43313 0.23239 0.66516 0.72517 0.72362 0.72513 0.72902 0.5356 0.71024 0.65928 0.29983 0.723 0.50164 0.53257 0.67885 0.17927 0.61273 0.70945 0.70186 0.70726 0.72668 0.50242 0.67634 0.54179 0 0.59989 0.50376 0.66875 0.52994 0.66438 0.58819 0.64353 0.61552 0.60084 0.70935 0.40565 0.45603 0 0.53477 0.69482 0.72425 0 0.73789 0.32902 0.049538 0.36735 0.393 0.73799 0.11066 0.49582 0.70338 0.4509 0.61596 0 0.71727 0.17632 0 0.73225 0 0.30955 0.36977 0.28603 0 0.63715 0.54491 0.72362 0.61969 0.61888 0.72975 0.55221 0.61239
RN = Cvert.Properties.RowNames; % Get 'RowNames'
SD = sum(table2array(Cvert),2); % Sum The Widths AT Each Strain Value
Sum_Deltas_Table = table(str2double(RN),SD, 'VariableNames',{'Strain','Sum_Deltas'}) % Create 'table' Of Summed Widths At Each Strain Value
Sum_Deltas_Table = 5×2 table
Strain Sum_Deltas
______ __________
50 366.27
80 259.36
110 159.82
140 80.021
170 29.206
figure
bar(Sum_Deltas_Table.Strain, Sum_Deltas_Table.Sum_Deltas)
grid
xlabel('Strain')
ylabel('\Sigma\Delta(t)')

% % Create scatter
% plot(X,Y,'DisplayName','Voltage',...
% 'Marker','NONE');
% % Create ylabel
% ylabel('Voltage [V]');
% xlabel('No. of Cycles');
%
%
%
% % Find the Given threshold Voltage
% yline(Strain, 'Color', 'r', 'LineWidth', 1);
function [Width,TW] = interpStrain(X,Y,Strain,k)
Strain = Strain(:);
Xend = numel(X);
for k1 = 1:numel(Strain)
% Q = Strain(k1)
idx = find(diff(sign(Y-Strain(k1))));
if ~isempty(idx)
for k2 = 1:numel(idx)
idxrng = max(1,idx(k2)-1) : min(Xend,idx(k2)+1);
Ux = unique(X(idxrng));
Uy = unique(Y(idxrng));
if numel(Ux) == numel(Uy)
xval(k1,k2) = interp1(Y(idxrng), X(idxrng), Strain(k1));
else
xval(k1,k2) = 0;
end
end
else
xval(k1,:) = [0 0];
end
Width(k1,:) = diff(xval(k1,:));
end
TW = table(Width, 'RowNames',compose('%.1f',Strain), 'VariableNames',{sprintf('Width_Peak_%03d',k)});
end
.
Rufus Adjetey
on 3 Feb 2023
Hi Star, This code works perfectly!! And does exactly what I need. I appreciate your help
More Answers (1)
Mathieu NOE
on 2 Feb 2023
hello
seems to me the code is fine for one single value of Strain because then X and Y have same size
as soon as you have multiple values (array) for Strain and because you are doing this
X = X(:).'; % Data Must Be Row Vectors
Y = Y(:).'; % Data Must Be Row Vectors
then X and Y are anymore similar in size and this is the root cause of your error (Y was 8x101 and now is 1 x 808)
IMO the code must be modified to cope for multiple values of Strain
that's why I added a new for loop and also I think that Width must be a 2D array with number of rows equal to Strain values and number of columns equal to Threshold values
At the end the new table TW looks like this :
TW =
Strain Width_all_results
______ _________________
36 [1×7 double]
63 [1×7 double]
73 [1×7 double]
92 [1×7 double]
184 [1×7 double]
45 [1×7 double]
157 [1×7 double]
123 [1×7 double]
and Width_all_results is a 2D array that contains all values vs Strain and vs Threshold :
Width_all_results =
0.3727 0 0 0 0 0 0
0.6840 0.4163 0 0 0 0 0
0.7304 0.5197 0.1830 0 0 0 0
0.7885 0.6342 0.4495 0.1326 0 0 0
0.8957 0.8248 0.7515 0.6746 0.5920 0.5005 0.3931
0.5354 0 0 0 0 0 0
0.8776 0.7936 0.7058 0.6113 0.5057 0.3789 0.1906
0.8431 0.7335 0.6145 0.4774 0.2952 0 0
Code modified :
Thresholds = 30:20:150;
X = 0:0.01:1;
Strain = [36 63 73 92 184 45 157 123]';
Threshold = 1:0.5:4;
Y = Strain.*sin(pi*X);
figure(1)
plot(X,Y)
for ck = 1:numel(Thresholds) % <= mod (maybe my matlab release is too old, I needed a for loop here)
yline(Thresholds(ck),'-r')
end
ylabel('Strain')
xlabel('time(s)')
% X = X(:).'; % Data Must Be Row Vectors
% Y = Y(:).'; % Data Must Be Row Vectors
Width_all_results = zeros(numel(Strain),numel(Thresholds)); % <= mod
for ck = 1:numel(Strain)
YY = Y(ck,:);
[pks,plocs] = findpeaks(YY);
[vys,vlocs] = findpeaks(-YY);
vlocs = unique([1 vlocs numel(YY)]);
for i = 1:numel(vlocs)-1
idx = vlocs(i) : vlocs(i+1);
[Width(i,:),Results{i}] = interpStrain(X(idx), YY(idx), Thresholds) % Calculates the widths based on function interStrain.
Width_all_results(ck,:) = Width; % <= mod
%Strain_Width_Table = Results{i};
end
end
TW = table(Strain,Width_all_results) % Width_all_results is a 2D array (rows = Strain values , columns = Thresholds values)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [Width,TW] = interpStrain(X,Y,Thresholds)
Thresholds = Thresholds(:);
Xend = numel(X);
for i = 1:numel(Thresholds)
fprintf(repmat('-',1,20))
idx1 = find(diff(sign(Y-Thresholds(i))));
idx = [min(idx1) max(idx1)];
if ~isempty(idx)
for j = 1:numel(idx)
idxrng = max(1,idx(j)-1) : min(Xend,idx(j)+1);
xval(i,j) = interp1(Y(idxrng), X(idxrng), Thresholds(i));
end
else
xval(i,:) = [0 0];
end
Width(i,:) = diff(xval(i,:));
end
% Final = Width';
TW = table(Thresholds,Width);
end
4 Comments
Rufus Adjetey
on 2 Feb 2023
Thanks Mathieu. Really appreciate.
I tried to add the deltas for each column but would not work instead it returns zeros. Copuld you please help?
I used
D1=sum(Width_all_results,1)
Mathieu NOE
on 3 Feb 2023
hello again
do the sum in the other dimensions
I added those lines in your code :
D1=sum(Width_all_results,2);
% bar plot
figure(2);
bar(Strain,D1);
full code :
Thresholds = 30:20:150;
X = 0:0.01:1;
Strain = [36 63 73 92 184 45 157 123]';
Strain = sort(Strain); % just to have a ascending vector
% Threshold = 1:0.5:4;
Y = Strain.*sin(pi*X);
figure(1)
plot(X,Y)
for ck = 1:numel(Thresholds) % <= mod (maybe my matlab release is too old, I needed a for loop here)
yline(Thresholds(ck),'-r')
end
ylabel('Strain')
xlabel('time(s)')

% X = X(:).'; % Data Must Be Row Vectors
% Y = Y(:).'; % Data Must Be Row Vectors
Width_all_results = zeros(numel(Strain),numel(Thresholds)); % <= mod
for ck = 1:numel(Strain)
YY = Y(ck,:);
[pks,plocs] = findpeaks(YY);
[vys,vlocs] = findpeaks(-YY);
vlocs = unique([1 vlocs numel(YY)]);
for i = 1:numel(vlocs)-1
idx = vlocs(i) : vlocs(i+1);
[Width(i,:),Results{i}] = interpStrain(X(idx), YY(idx), Thresholds) % Calculates the widths based on function interStrain.
Width_all_results(ck,:) = Width; % <= mod
%Strain_Width_Table = Results{i};
end
end
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 1×7
0.3727 0 0 0 0 0 0
Results = 1×1 cell array
{7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 1×7
0.5354 0 0 0 0 0 0
Results = 1×1 cell array
{7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 1×7
0.6840 0.4163 0 0 0 0 0
Results = 1×1 cell array
{7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 1×7
0.7304 0.5197 0.1830 0 0 0 0
Results = 1×1 cell array
{7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 1×7
0.7885 0.6342 0.4495 0.1326 0 0 0
Results = 1×1 cell array
{7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 1×7
0.8431 0.7335 0.6145 0.4774 0.2952 0 0
Results = 1×1 cell array
{7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 1×7
0.8776 0.7936 0.7058 0.6113 0.5057 0.3789 0.1906
Results = 1×1 cell array
{7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 1×7
0.8957 0.8248 0.7515 0.6746 0.5920 0.5005 0.3931
Results = 1×1 cell array
{7×2 table}
TW = table(Strain,Width_all_results); % Width_all_results is a 2D array (rows = Strain values , columns = Thresholds values)
D1=sum(Width_all_results,2);
% bar plot
figure(2);
bar(Strain,D1);

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [Width,TW] = interpStrain(X,Y,Thresholds)
Thresholds = Thresholds(:);
Xend = numel(X);
for i = 1:numel(Thresholds)
fprintf(repmat('-',1,20))
idx1 = find(diff(sign(Y-Thresholds(i))));
idx = [min(idx1) max(idx1)];
if ~isempty(idx)
for j = 1:numel(idx)
idxrng = max(1,idx(j)-1) : min(Xend,idx(j)+1);
xval(i,j) = interp1(Y(idxrng), X(idxrng), Thresholds(i));
end
else
xval(i,:) = [0 0];
end
Width(i,:) = diff(xval(i,:));
end
% Final = Width';
TW = table(Thresholds,Width);
end
Mathieu NOE
on 3 Feb 2023
Noticed the code needed another minor change to make it work on "multiple" peaks signals
% Width_all_results(ck,:) = Width; % <= previous mod
Width_all_results(ck,:) = sum(Width,1); % <= last mod
here the shape is 3 half periods of sine and not one
you can test the code with one or multiple peaks signals, the code works fine
Thresholds = 30:20:150;
X = 0:0.01:1;
Strain = [36 63 73 92 184 45 157 123]';
Strain = sort(Strain); % just to have a ascending vector
% Threshold = 1:0.5:4; % not needed , you can remove that line
Y = Strain.*abs(sin(3*pi*X)); % here new signal shape
figure(1)
plot(X,Y)
for ck = 1:numel(Thresholds) % <= mod (maybe my matlab release is too old, I needed a for loop here)
yline(Thresholds(ck),'-r')
end
ylabel('Strain')
xlabel('time(s)')

% X = X(:).'; % Data Must Be Row Vectors
% Y = Y(:).'; % Data Must Be Row Vectors
Width_all_results = zeros(numel(Strain),numel(Thresholds)); % <= mod
for ck = 1:numel(Strain)
YY = Y(ck,:);
[pks,plocs] = findpeaks(YY);
[vys,vlocs] = findpeaks(-YY);
vlocs = unique([1 vlocs numel(YY)]);
for i = 1:numel(vlocs)-1
idx = vlocs(i) : vlocs(i+1);
[Width(i,:),Results{i}] = interpStrain(X(idx), YY(idx), Thresholds) % Calculates the widths based on function interStrain.
% Width_all_results(ck,:) = Width; % <= previous mod
Width_all_results(ck,:) = sum(Width,1); % <= last mod
%Strain_Width_Table = Results{i};
end
end
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 1×7
0.1240 0 0 0 0 0 0
Results = 1×1 cell array
{7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 2×7
0.1240 0 0 0 0 0 0
0.1241 0 0 0 0 0 0
Results = 1×2 cell array
{7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.1240 0 0 0 0 0 0
0.1241 0 0 0 0 0 0
0.1240 0 0 0 0 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.1783 0 0 0 0 0 0
0.1241 0 0 0 0 0 0
0.1240 0 0 0 0 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.1783 0 0 0 0 0 0
0.1784 0 0 0 0 0 0
0.1240 0 0 0 0 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.1783 0 0 0 0 0 0
0.1784 0 0 0 0 0 0
0.1783 0 0 0 0 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2279 0.1385 0 0 0 0 0
0.1784 0 0 0 0 0 0
0.1783 0 0 0 0 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2279 0.1385 0 0 0 0 0
0.2279 0.1387 0 0 0 0 0
0.1783 0 0 0 0 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2279 0.1385 0 0 0 0 0
0.2279 0.1387 0 0 0 0 0
0.2279 0.1385 0 0 0 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2434 0.1731 0.0603 0 0 0 0
0.2279 0.1387 0 0 0 0 0
0.2279 0.1385 0 0 0 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2434 0.1731 0.0603 0 0 0 0
0.2434 0.1730 0.0609 0 0 0 0
0.2279 0.1385 0 0 0 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2434 0.1731 0.0603 0 0 0 0
0.2434 0.1730 0.0609 0 0 0 0
0.2434 0.1731 0.0603 0 0 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2628 0.2113 0.1497 0.0435 0 0 0
0.2434 0.1730 0.0609 0 0 0 0
0.2434 0.1731 0.0603 0 0 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2628 0.2113 0.1497 0.0435 0 0 0
0.2628 0.2113 0.1496 0.0437 0 0 0
0.2434 0.1731 0.0603 0 0 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2628 0.2113 0.1497 0.0435 0 0 0
0.2628 0.2113 0.1496 0.0437 0 0 0
0.2628 0.2113 0.1497 0.0435 0 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2810 0.2444 0.2048 0.1589 0.0980 0 0
0.2628 0.2113 0.1496 0.0437 0 0 0
0.2628 0.2113 0.1497 0.0435 0 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2810 0.2444 0.2048 0.1589 0.0980 0 0
0.2810 0.2444 0.2047 0.1591 0.0983 0 0
0.2628 0.2113 0.1497 0.0435 0 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2810 0.2444 0.2048 0.1589 0.0980 0 0
0.2810 0.2444 0.2047 0.1591 0.0983 0 0
0.2810 0.2444 0.2048 0.1589 0.0980 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2925 0.2645 0.2352 0.2037 0.1685 0.1261 0.0630
0.2810 0.2444 0.2047 0.1591 0.0983 0 0
0.2810 0.2444 0.2048 0.1589 0.0980 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2925 0.2645 0.2352 0.2037 0.1685 0.1261 0.0630
0.2925 0.2645 0.2352 0.2037 0.1684 0.1260 0.0632
0.2810 0.2444 0.2048 0.1589 0.0980 0 0
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2925 0.2645 0.2352 0.2037 0.1685 0.1261 0.0630
0.2925 0.2645 0.2352 0.2037 0.1684 0.1260 0.0632
0.2925 0.2645 0.2352 0.2037 0.1685 0.1261 0.0630
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2985 0.2749 0.2505 0.2248 0.1972 0.1667 0.1309
0.2925 0.2645 0.2352 0.2037 0.1684 0.1260 0.0632
0.2925 0.2645 0.2352 0.2037 0.1685 0.1261 0.0630
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2985 0.2749 0.2505 0.2248 0.1972 0.1667 0.1309
0.2986 0.2749 0.2504 0.2248 0.1973 0.1666 0.1307
0.2925 0.2645 0.2352 0.2037 0.1685 0.1261 0.0630
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
--------------------------------------------------------------------------------------------------------------------------------------------
Width = 3×7
0.2985 0.2749 0.2505 0.2248 0.1972 0.1667 0.1309
0.2986 0.2749 0.2504 0.2248 0.1973 0.1666 0.1307
0.2985 0.2749 0.2505 0.2248 0.1972 0.1667 0.1309
Results = 1×3 cell array
{7×2 table} {7×2 table} {7×2 table}
TW = table(Strain,Width_all_results); % Width_all_results is a 2D array (rows = Strain values , columns = Thresholds values)
D1=sum(Width_all_results,2);
% bar plot
figure(2);
bar(Strain,D1);

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [Width,TW] = interpStrain(X,Y,Thresholds)
Thresholds = Thresholds(:);
Xend = numel(X);
for i = 1:numel(Thresholds)
fprintf(repmat('-',1,20))
idx1 = find(diff(sign(Y-Thresholds(i))));
idx = [min(idx1) max(idx1)];
if ~isempty(idx)
for j = 1:numel(idx)
idxrng = max(1,idx(j)-1) : min(Xend,idx(j)+1);
xval(i,j) = interp1(Y(idxrng), X(idxrng), Thresholds(i));
end
else
xval(i,:) = [0 0];
end
Width(i,:) = diff(xval(i,:));
end
% Final = Width';
TW = table(Thresholds,Width);
end
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