- Share reference_signal and Surveillance_signal if possible.
- Clarify further your question.
Save plots in a for cycle
1 visualización (últimos 30 días)
Mostrar comentarios más antiguos
Miguel Albuquerque
el 6 de Jul. de 2022
Comentada: Miguel Albuquerque
el 7 de Jul. de 2022
Hey guys, I have this code that correlates two signals with a large amount of samples(30 million). I want to see the plot in the code(surf) for all the iterations, maybe, not all, but perhaps skipping one iteration. Meaning I see the plot in one iteration, the next I dont see, the following I see, and so on. How can I make this, so that the plots are saved in PNG perhaps,to a folder in my pc identified with different number so I can see which iteration it was.
I wanted to do this in a good matlab way, since there are a lot of plots.
Thanks in advance
reference_reshaped = reshape(Reference_signal, 1000, 4, []);
surveillance_reshaped = reshape(Surveillance_signal, 1000, 4, []);
counter=1;
sz = size(reference_reshaped);
for i = 1:sz(3)
r = reference_reshaped(:,1,i);
s = surveillance_reshaped(:,1,i);
[afmag3,delay3,doppler3] = ambgfun(r,s,Fs,[250000 250000]);
afmag3(afmag3>1 )= 1;
counter=counter+1
figure;
surf(delay3,doppler3,afmag3,'LineStyle','-.');
shading interp;
axis([-1e-5 1e-5 -2000 2000]);
grid on;
view([140,35]);
colorbar;
ylabel('Doppler (Hz)');
xlabel('Delay(s)');
title('Ambiguity Function Sref');
end
2 comentarios
Abderrahim. B
el 6 de Jul. de 2022
Hi!
Some informations are needed to help :
Thanks
Respuesta aceptada
Jan
el 6 de Jul. de 2022
Editada: Jan
el 6 de Jul. de 2022
If you want to create every 2nd image only, simply use:
for i = 1:2:sz(3)
% ^^ then i is [1, 3, 5, ...]
Creating a new figure without deleting the old one will let Matlab crash due to exhausted resources. It is much faster to create the figure once only and to modify the graphics object only:
reference_reshaped = reshape(Reference_signal, 1000, 4, []);
surveillance_reshaped = reshape(Surveillance_signal, 1000, 4, []);
counter = 1;
sz = size(reference_reshaped);
FigH = figure;
AxesH = axes(FigH);
SurfH = surf(AxesH, [], [], [],'LineStyle','-.'); % [EDITED]
shading interp;
axis([-1e-5 1e-5 -2000 2000]);
grid on;
view([140,35]);
colorbar;
ylabel('Doppler (Hz)');
xlabel('Delay(s)');
title('Ambiguity Function Sref');
for i = 1:sz(3)
r = reference_reshaped(:,1,i);
s = surveillance_reshaped(:,1,i);
[afmag3,delay3,doppler3] = ambgfun(r,s,Fs,[250000 250000]);
afmag3(afmag3>1 )= 1;
counter=counter+1;
set(SurfH, 'XData',delay3, 'YData', doppler3, 'ZData', afmag3); % [EDITED]
exportgraphics(AxesH, sprintf('Image%07d.png', counter));
end
If you have 15 Million images and the creation and saving takes 0.1 seconds, the code runs for more than 17 days. Checking the images manually will need some years afterwards.
3 comentarios
Jan
el 6 de Jul. de 2022
@Miguel Albuquerque: This was a bug. See [EDITED] in the code.
You can provide test data created by some rand calls. This does not reveal your original data and is compact enough. Most of all the answering persons can test their codes in the forum before posting.
Más respuestas (0)
Ver también
Categorías
Más información sobre Printing and Saving en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!