freqs_zpk(z, p, k, worN=200)
Given the zeros z, poles p, and gain k of a filter, compute its frequency response:
(jw-z[0]) * (jw-z[1]) * ... * (jw-z[-1])
H(w) = k * ----------------------------------------
(jw-p[0]) * (jw-p[1]) * ... * (jw-p[-1])
Zeroes of a linear filter
Poles of a linear filter
Gain of a linear filter
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 :None:None:`worN`.
Compute frequency response of analog filter.
freqs
Compute the frequency response of an analog filter in TF form
freqz
Compute the frequency response of a digital filter in TF form
freqz_zpk
Compute the frequency response of a digital filter in ZPK form
>>> from scipy.signal import freqs_zpk, iirfilter
>>> z, p, k = iirfilter(4, [1, 10], 1, 60, analog=True, ftype='cheby1',
... output='zpk')
>>> w, h = freqs_zpk(z, p, k, worN=np.logspace(-1, 2, 1000))
>>> import matplotlib.pyplot as plt
... plt.semilogx(w, 20 * np.log10(abs(h)))
... plt.xlabel('Frequency')
... plt.ylabel('Amplitude response [dB]')
... plt.grid()
... plt.show()
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.signal._filter_design.bilinear_zpk
scipy.signal._filter_design.freqz_zpk
scipy.signal._filter_design.freqs_zpk
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