I want to build a detector of sorts. Say I have a bunch of signals and they all share some patterns, like some peaks in frequency or something more complicated that I can't bother to calculate by hand. I do however have plenty of these signals, so maybe I could "model" statistically, and more importantly, numerically through Matlab, their behavior. I'm familiar with the concepts of auto correlation and spectral density, but I'm not sure how to infer them from of the samples. I know Matlab has a function called
autocorr that calculates the autocorrelation of the sample, but I'm not sure I understand how it works. In any case, I don't know how to get the best autocorrelation model out of all the autocorrelations calculated for each sample. Taking an average seems a bit too easy and I'm not sure how it would work.