cupyx.scipy.signal.freqs#
- cupyx.scipy.signal.freqs(b, a, worN=200, plot=None)[source]#
Compute frequency response of analog filter.
Given the M-order numerator b and N-order denominator a of an analog filter, compute its frequency response:
b[0]*(jw)**M + b[1]*(jw)**(M-1) + ... + b[M] H(w) = ---------------------------------------------- a[0]*(jw)**N + a[1]*(jw)**(N-1) + ... + a[N]
- Parameters:
b (array_like) – Numerator of a linear filter.
a (array_like) – Denominator of a linear filter.
worN ({None, int, array_like}, 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, then compute at that many frequencies. Otherwise, compute the response at the angular frequencies (e.g., rad/s) given in worN.
plot (callable, optional) – A callable that takes two arguments. If given, the return parameters w and h are passed to plot. Useful for plotting the frequency response inside freqs.
- Returns:
w (ndarray) – The angular frequencies at which h was computed.
h (ndarray) – The frequency response.