scipy.signal.findfreqs¶
- scipy.signal.findfreqs(num, den, N)[source]¶
Find an array of frequencies for computing the response of a filter.
Parameters: num, den : array_like, 1-D
The polynomial coefficients of the numerator and denominator of the transfer function of the filter or LTI system. The coefficients are ordered from highest to lowest degree.
N : int
The length of the array to be computed.
Returns: w : (N,) ndarray
A 1-D array of frequencies, logarithmically spaced.
Examples
Find a set of nine frequencies that span the “interesting part” of the frequency response for the filter with the transfer function
H(s) = s / (s^2 + 8s + 25)>>> findfreqs([1, 0], [1, 8, 25], N=9) array([ 1.00000000e-02, 3.16227766e-02, 1.00000000e-01, 3.16227766e-01, 1.00000000e+00, 3.16227766e+00, 1.00000000e+01, 3.16227766e+01, 1.00000000e+02])