# Plot functions in a for cycle

4 views (last 30 days)

Show older comments

Hey guys, thanks in advance,

I have this code , that calculates ambiguity function for signals with a lot of values. On each iteration, I want to plot the graphic with the code below ( cross-correlation). Is there a better way, than for each iteration, interrupt for loop to see the plot?

for k = 1 : 500000 : length(Reference_signal)

for kk = 1: 500000 : length(Surveillance_signal)

Reference_signal_samples = Reference_signal(k : k + 499999);

Surveillance_signal_samples= Surveillance_signal(kk : kk + 499999)

[afmag3,delay3] = ambgfun(Reference_signal_samples,Surveillance_signal_samples,Fs,[250000 250000],'cut','Doppler');

afmag3 = afmag3*1; % Select plot gain *1

afmag3(afmag3>1 )= 1;

end

end

% Plot cross-correlation

[pks3,index3] = max(afmag3);

xMax3 = delay3(index3);

yMax3 = pks3;

subplot(3,2,3)

plot(delay3,afmag3,'LineStyle','-');

hold on

%plot3(delay3(pks3,index3), afmag3(pks3,index3), pks3, '^r');

textString3 = sprintf('(%f, %f)', xMax3, yMax3);

text(xMax3, yMax3,textString3,"Color",'b','FontSize',10);

hold off

shading interp;

%xlim([-0.5e-5 16e-5]);

xlim auto;

grid on;

colorbar;

xlabel('Delay \tau (s)');

ylabel('Ambiguity Function Magnitude');

title('Cross-correlation');

##### 0 Comments

### Accepted Answer

Voss
on 2 Jul 2022

You can move your plotting code inside the loops if you want to see a plot in each iteration, yes.

I see that you're doing subplot(3,2,3), so I take that to mean that one of the loops iterates 3 times and the other iterates 2 times, and that you would like to see the plots arranged in a 3-by-2 subplot grid.

If that's the case, something like this would work (actually, this will work regardless of how many iterations each loop has, as long as the idea is to plot the result of each ambgfun call in its own plot):

pulse_size = 500000;

% random data:

Reference_signal = rand(1,2*pulse_size);

Surveillance_signal = rand(1,3*pulse_size);

Fs = 1e6;

% number of blocks of 500000 samples, for each signal:

nRef = numel(Reference_signal)/pulse_size;

nSurv = numel(Surveillance_signal)/pulse_size;

% index of "middle" axes vertically, for ylabel

% (you can use tiledlayout rather than subplot

% to have an actual common ylabel):

if mod(nSurv,2) == 1

nSurvHalf = (nSurv-1)/2+1;

else

nSurvHalf = nSurv/2;

end

% it's convenient to loop over natural numbers

for k = 1:nRef

% Reference_signal_samples doesn't depend on kk, so get it once per k,

% here, before the kk loop:

Reference_signal_samples = Reference_signal((k-1)*pulse_size+(1:pulse_size));

for kk = 1:nSurv

Surveillance_signal_samples = Surveillance_signal((kk-1)*pulse_size+(1:pulse_size));

[afmag3,delay3] = ambgfun(Reference_signal_samples,Surveillance_signal_samples,Fs,[1 1]*pulse_size/2,'cut','Doppler');

% afmag3 = afmag3*1; % Select plot gain *1

afmag3(afmag3 > 1) = 1;

% Plot cross-correlation

[pks3,index3] = max(afmag3);

xMax3 = delay3(index3);

yMax3 = pks3;

subplot(nSurv,nRef,nRef*(kk-1)+k);

plot(delay3,afmag3,'LineStyle','-');

textString3 = sprintf('(%f, %f)', xMax3, yMax3);

text(xMax3, yMax3,textString3,"Color",'b','FontSize',10);

grid on;

% xlabel the bottom-most plots only

if kk == nSurv

xlabel('Delay \tau (s)');

end

% ylabel the plot on the left which is halfway down

if k == 1 && kk == nSurvHalf

ylabel('Ambiguity Function Magnitude');

end

% title each plot

title(sprintf('Ref. pulse: %d Surv. pulse: %d',k,kk));

end

end

% common title for all plots

sgtitle('Cross-correlation');

Try it on your data and see if it produces something like what you have in mind.

##### 6 Comments

Voss
on 2 Jul 2022

### More Answers (0)

### See Also

### Categories

### Community Treasure Hunt

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

Start Hunting!