I just realized that NumPy uses the time domain algorithm for correlation.
So it would be much easier to modify the correlation functions in SciPy
than in NumPy.
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Hello,
There is a simple solution.
The cross-correlation of two arrays of lengths m and n is of length
m + n - 1, where m is usually much larger than n.
If you need to compute the cross-correlation with a bound on the lag
of k, then truncate the longer array to length k - n + 1.
That is,
def _
