How to normalize a matrix such that the maximum value is 1?
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hithere
el 31 de Dic. de 2014
Comentada: Thamires Lima
el 5 de Oct. de 2017
I have 2 matrices. I plot them against a common x-axis
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/146648/image.jpeg)
.
Now I like to normalize both signal such that the largest peak of each signal is 1 so that I can compare the signals.
How should I go about doing it?
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Azzi Abdelmalek
el 31 de Dic. de 2014
If you have Image Processing Toolbox
new_y1=mat2gray(y1);
new_y2=mat2gray(y2);
% new_y1 and new_y2 have both the same minimum equal to 0 and maximum equal to 1
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Azzi Abdelmalek
el 1 de En. de 2015
out=cell2mat(arrayfun(@(x) mat2gray(A(x,:)),(1:size(A,1))','un',0))
Thamires Lima
el 5 de Oct. de 2017
And, If, do I have an errorbar (y2) associated to y1 how should I write this new errrorbar (new_y2), after normalizing y1 to new_y1?
Más respuestas (2)
Image Analyst
el 31 de Dic. de 2014
What about the min? Do you want that to be mapped to 0, or whatever it ends up being? If it's whatever, then (untested):
y1Normalized = y1 / max(y1);
p1 = subplot(1, 2, 1);
plot(x1, y1Normalized );
% Find what it picked as the nice ranges for the y axis:
yAxis1 = ylim();
y2Normalized = y2 / max(y2);
p2 = subplot(1, 2, 2);
plot(x2, y2Normalized);
% Find what it picked as the nice ranges for the y axis:
yAxis2 = ylim();
% Figure out what the y axis range needs to be to accomodate both plots.
yMin = min([yAxis1, yAxis2]);
yMax = max([yAxis1, yAxis2]);
% Set a common y axis range for both of them.
ylim(p1, [yMin, yMax]);
ylim(p2, [yMin, yMax]);
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