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scipy.signal.freqs¶
- scipy.signal.freqs(b, a, worN=None, plot=None)¶
Compute frequency response of analog filter.
Given the numerator (b) and denominator (a) of a filter compute its frequency response.
b[0]*(jw)**(nb-1) + b[1]*(jw)**(nb-2) + ... + b[nb-1]
- H(w) = ——————————————————–
- a[0]*(jw)**(na-1) + a[1]*(jw)**(na-2) + ... + a[na-1]
Parameters: b : ndarray
numerator of a linear filter
a : ndarray
numerator of a linear filter
worN : {None, int}, optional
If None, then compute at 200 frequencies around the interesting parts of the response curve (determined by pole-zero locations). If a single integer, the compute at that many frequencies. Otherwise, compute the response at frequencies given in worN.
Returns: w : ndarray
The frequencies at which h was computed.
h : ndarray
The frequency response.
