Cross-correlation for signal matches

How can i cross-correlate two different signals to determine whether they are matched by frequency. In depth of my question is that the signals will cross-correlate their frequencies and when contain same frequency then the product will have high amplitude and vice versa

Answer 1

[Salaheddin Hosseinzadeh]

Dear Steven,

Here is a example code i used to find the phase-shift between two different signals. I used cross-correlation to determine the phase shift.

In line 26 you can see the crosscorr() function which performs, well of course you know what that does ;)

Hope this helps. If you made the code any better share it with me plz.

Good luck ;)

[Salaheddin Hosseinzadeh]

Dear Steven,

The code I attached is performing a phase-shift detection in time domain. It has the cross correlation and some extra calculations that give the exact phase-shift in degree I believe.

What are you intending to do? Do you wanna see if the frequency domain of two signals are close to each other?

To my understanding it doesn't matter what domain we're talking about. You can use cross-correlation between to different signals to determine how much they are related! Doesn't matter in what domain we're talking about!

I guess you're a bit confused, just tell us what exactly are you intending to do.

Thanks

[Steven Chong]

Basically i was intending to cross-correlate two audio signals to compare their frequencies in the time domain to determine if they match each other

[Salaheddin Hosseinzadeh]

crosscorr(x,y), generates an output signal which has its peak where the two signals have the most relation. They may not neccesarily match!

You can compare the audio signal in time domain using crosscorr(), or, first take their Fourier transform (fft()) and compare their frequency spectrum, this is up to you.

I assume if two signals are similar in time domain, they will be similar in frequency domain as well.

This is what I understand at least!

Good luck.