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Correlation provides a metric of the linear dependence between two signals. The normalized correlation coefficient (which is the result of xcorr and then divided by the standard deviation of each of the two waveforms) will provide a result that is between +1 and -1, where +1 means the two waveforms are virtually identical other than perhaps a gain scaling ...


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In my opinion, using fast Fourier transform (FFT) to circularly deconvolve a maximum length sequence (MLS) makes sense from a development point of view because FFT is typically readily available and because using FFT makes switching to another test signal easy. If only power-of-two-size FFTs are available, then for a length $2^m-1$ MLS, a length $2^{m+1}$ ...


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