How can I study Autocorrelation function of common inputs?

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I'm trying to study the autocorrelation function for some basic signals, such as rectangularPulse and triangularPulse, and to do that I found the xcorr () function. The problem is that the function wants 2 vectors in input, so I'm trying to convert the function to vectors, but mine can be a non linear function...
Also I don't even know if this is the right way...
Everything I'm trying I found here https://en.mathworks.com/help/signal/correlation-and-convolution.html.

Accepted Answer

Balaji Udayagiri
Balaji Udayagiri on 5 Jul 2022
Hi Teodoro,
As per my understanding, you want to know how to perform autocorrelation for non-linear functions.
You can use the xcorr() function to do the same.
Here is an example code using a sine function to do the same:
fs = 1.0e4;
t = 0:1/fs:0.005;
signal = sin(2*pi*1000*t)';
figure(1);
stem(t,signal);
[c,lags] = xcorr(signal);
figure(2);
stem(lags,c)
You can replace the sin function of any linear or non-linear function of your choice.

More Answers (1)

Jonas
Jonas on 30 Jun 2022
Edited: Jonas on 30 Jun 2022
you can simply generate your own vectors in matlab and do some studying
e.g.
rectPulse = [zeros(1,10) ones(1,15) zeros(1,10)];
tiledlayout('flow');
nexttile()
stem(rectPulse);
nexttile()
[val,lag]=xcorr(rectPulse);
stem(lag,val);
linkaxes()
figure
triPulse=zeros(1,100);
triPulse(31:70)=(1:40)/10;
tiledlayout('flow');
nexttile()
plot(triPulse);
nexttile()
[val,lag]=xcorr(triPulse);
plot(lag,val);
nexttile()
val=conv(triPulse,triPulse);
plot(val);

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