Dec 2, 2015 · A Side Note The term "cross-correlation" is (for some) misused in the field of DSP. For statisticians, a correlation is a value that measures how close two variables are and should …

Aug 31, 2022 · 2 The output of cross corelation shows the similarity between the two signals. But in what respect is there a similarity? I didn't quite understand how I should interpret the output. …

Apr 19, 2013 · Cross-correlation implies that you have 2 signals, and there is a delay between them. A 'basic' frequency domain cross-correlator does an FFT on each signal, conjugates …

Apr 15, 2021 · I tried googling cross correlation, but I keep getting signal processing literature of the form $ (f\star g) (\tau)$ and I don't see how that's related to the correlation between two …

I've found on multiple sites that convolution and cross-correlation are similar (including the tag wiki for convolution), but I didn't find anywhere how they differ. What is the difference between...

74 I have to do cross correlation of two audio file to prove they are similar. I have taken the FFT of the two audio files and have their power spectrum values in separate arrays. How should I …

Feb 16, 2025 · This second plot obviously is not a cross-correlation: that would have values in the range $ [-1,1].$ It also (a little less obviously) is not even proportional to the cross-correlation …

Dec 30, 2016 · I am working with two time series and I am interested in understanding the relationship between them. As a first step, I checked the cross correlation function (using ccf() …

Dec 26, 2024 · the SciPy's scipy.signal.correlate function supports computing the cross-correlation between two 1D arrays. However, there is no direct support for axis-wise cross …

How to find the lag between two time series using cross-correlation Asked 4 years, 3 months ago Modified 3 years, 7 months ago Viewed 11k times