Sum of plots in for loop

2 visualizaciones (últimos 30 días)
Arthur Moya
Arthur Moya el 15 de Jun. de 2020
Comentada: Arthur Moya el 31 de Jul. de 2020
Hi there,
I generated the attached plots in a for loop.
What I want eventually is to sum these plots to generate the black curve.
How can I go on about that?
Thank you for your help in advance,
Arthur
  2 comentarios
KSSV
KSSV el 15 de Jun. de 2020
Editada: KSSV el 15 de Jun. de 2020
Share your code....Add all curves...is it what you want?
Arthur Moya
Arthur Moya el 15 de Jun. de 2020
Hi @KSSV,
Please see the code below.
%% %Partial Temporal Coherence curve
WL = 0.0195 % Ang^-1
DeltaS = 36 % Ang
g = [0:0.01:3] % Ang^-1
Etr = exp(-0.5*pi^2*DeltaS*WL^2.*g.^4);
plot (g,Etr);
%% %Contrast Transfer Function
D= [150:12.5:200] %Ang
for i=1:length(D)
Cs = -12960 % Ang
Xr = 0.5*pi.*D(i)*WL.*g.^2 + 0.25*pi*Cs*WL^3.*g.^4;
Wv= sin(Xr).*Etr;
hold on
plot (g,Wv)
xlabel('g(Ang^{-1})','Fontsize',20)
ylabel('sin X', 'Fontsize',20)
legend ('E_{t}','20','40','60','80','Location','best','Fontsize',30)
line(xlim, [0,0], 'Color', 'k', 'LineWidth', 1)
end

Iniciar sesión para comentar.

Respuestas (2)

Rob Robinson
Rob Robinson el 15 de Jun. de 2020
I don't think the black curve is the sum of all of these curves as the amplitude would be significantly higher than any of the one lines when they are so close to being in phase? I've given an example below for just two curves of how you could calculate the sum of the curves or alternatively the average or maximum. Hopefully one of those is what you are looking for.
c = 0:0.25:0.25;
x = linspace(1,10,100);
figure()
hold on
ySum = zeros(length(c),length(x));
for cVal = 1:length(c)
legendName = sprintf('y=sin(x+%.2f)',c(cVal));
y = sin(x+c(cVal)) ;
ySum(cVal,:) = y;
plot(x,y,'DisplayName',legendName);
end
plot(x,mean(ySum),'DisplayName' ,'Average')
plot(x,sum(ySum),'DisplayName' ,'Sum')
plot(x,max(ySum),'DisplayName' ,'Max')
legend('location','best')
  1 comentario
Arthur Moya
Arthur Moya el 15 de Jun. de 2020
Hi Rob,
I suspect the curve that most resembles what I am looking for is the max curve. I have seen below some suggestions that I may be looking for the envelope. What would be the difference between the max curve and the envelope?
Thank you and kind regards,
Arthur

Iniciar sesión para comentar.


Ameer Hamza
Ameer Hamza el 15 de Jun. de 2020
This seems like envelope(): https://www.mathworks.com/help/releases/R2020a/signal/ref/envelope.html of these curves. It is from the signal processing toolbox.
  4 comentarios
Ameer Hamza
Ameer Hamza el 15 de Jun. de 2020
Can you share the data?
Arthur Moya
Arthur Moya el 31 de Jul. de 2020
Dear @ Ameer Hamza,
below is the code I used to generate the data.
Thank you and kind regards,
Arthur
%% %Partial Temporal Coherence curve
WL = 0.0195 % Ang^-1
DeltaS = 36 % Ang
g = [0:0.01:3] % Ang^-1
Etr = exp(-0.5*pi^2*DeltaS*WL^2.*g.^4);
plot (g,Etr);
%% %Contrast Transfer Function
D= [150:12.5:200] %Ang
for i=1:length(D)
Cs = -12960 % Ang
Xr = 0.5*pi.*D(i)*WL.*g.^2 + 0.25*pi*Cs*WL^3.*g.^4;
Wv= sin(Xr).*Etr;
hold on
plot (g,Wv)
xlabel('g(Ang^{-1})','Fontsize',20)
ylabel('sin X', 'Fontsize',20)
legend ('E_{t}','20','40','60','80','Location','best','Fontsize',30)
line(xlim, [0,0], 'Color', 'k', 'LineWidth', 1)
end

Iniciar sesión para comentar.

Categorías

Más información sobre Measurements and Spatial Audio en Help Center y File Exchange.

Etiquetas

Productos


Versión

R2019b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by