pydsm.correlations.raw_acorr¶
- pydsm.correlations.raw_acorr(x, N)¶
Computes the raw autocorrelation of a vector up to lag N.
Parameters: x : array_like
1-D sequence to compute the auto-correlation upon
N : int
the maximum (positive) lag of the raw auto-correlation to return.
Returns: q : ndarray
the raw (unnormalized) autocorrelation vector. Assuming that m is the length of x q(k) = sum_{n=k}^{m-1} x(n) x(n-k) for k = 0 ... N
Notes
The routine does not make any check on the length of x and N. It is responsibility of the user to assure that len(x)>=N. In some cases (but only in some cases), zero padding is practiced.