- How do you find the cross-correlation of two signals in Matlab?
- How do you represent a signal in the frequency domain in Matlab?
- What is cross-correlation in frequency domain?
- How do you find the cross-correlation of two signals?
How do you find the cross-correlation of two signals in Matlab?
r = xcorr( x , y ) returns the cross-correlation of two discrete-time sequences. Cross-correlation measures the similarity between a vector x and shifted (lagged) copies of a vector y as a function of the lag.
How do you represent a signal in the frequency domain in Matlab?
Use fft to observe the frequency content of the signal. NFFT = length(y); Y = fft(y,NFFT); F = ((0:1/NFFT:1-1/NFFT)*Fs). '; The output of the FFT is a complex vector containing information about the frequency content of the signal.
What is cross-correlation in frequency domain?
According to the cross-correlation theorem : the cross-correlation between two signals is equal to the product of fourier transform of one signal multiplied by complex conjugate of fourier transform of another signal.
How do you find the cross-correlation of two signals?
To detect a level of correlation between two signals we use cross-correlation. It is calculated simply by multiplying and summing two-time series together. In the following example, graphs A and B are cross-correlated but graph C is not correlated to either.