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bundles / scipy latest / scipy / signal / _filter_design / lp2bs_zpk

function

scipy.signal._filter_design:lp2bs_zpk

source: build-install/usr/lib/python3.14/site-packages/scipy/signal/_filter_design.py:3301

Signature

def lp2bs_zpk(z, p, k, wo = 1.0, bw = 1.0)

Summary

Transform a lowpass filter prototype to a bandstop filter.

Extended Summary

Return an analog band-stop filter with center frequency wo and stopband width bw from an analog low-pass filter prototype with unity cutoff frequency, using zeros, poles, and gain ('zpk') representation.

Parameters

z : array_like

Zeros of the analog filter transfer function.

p : array_like

Poles of the analog filter transfer function.

k : float

System gain of the analog filter transfer function.

wo : float

Desired stopband center, as angular frequency (e.g., rad/s). Defaults to no change.

bw : float

Desired stopband width, as angular frequency (e.g., rad/s). Defaults to 1.

Returns

z : ndarray

Zeros of the transformed band-stop filter transfer function.

p : ndarray

Poles of the transformed band-stop filter transfer function.

k : float

System gain of the transformed band-stop filter.

Notes

This is derived from the s-plane substitution

This is the "wideband" transformation, producing a stopband with geometric (log frequency) symmetry about wo.

Examples

Transform a low-pass filter represented in 'zpk' (Zero-Pole-Gain) form into a bandstop filter represented in 'zpk' form, with a center frequency wo and bandwidth bw.
from scipy.signal import lp2bs_zpk
z   = [             ]
p   = [ 0.7 ,    -1 ]
k   = 9
wo  = 0.5
bw  = 10
✓
lp2bs_zpk(z, p, k, wo, bw)
✗
(array([ 0.+0.5j,  0.+0.5j, -0.-0.5j, -0.-0.5j]), array([14.2681928 +0.j, -0.02506281+0.j,  0.01752149+0.j, -9.97493719+0.j]), np.float64(-12.857142857142858))

See also

bilinear
lp2bp_zpk
lp2bs
lp2hp_zpk
lp2lp_zpk

Aliases

  • scipy.signal.lp2bs_zpk

Referenced by