bundles / scipy latest / scipy / signal / _filter_design / lp2hp_zpk
function
scipy.signal._filter_design:lp2hp_zpk
source: build-install/usr/lib/python3.14/site-packages/scipy/signal/_filter_design.py:3115
Signature
def lp2hp_zpk(z, p, k, wo = 1.0)Summary
Transform a lowpass filter prototype to a highpass filter.
Extended Summary
Return an analog high-pass filter with cutoff frequency wo from an analog low-pass filter prototype with unity cutoff frequency, using zeros, poles, and gain ('zpk') representation.
Parameters
z: array_likeZeros of the analog filter transfer function.
p: array_likePoles of the analog filter transfer function.
k: floatSystem gain of the analog filter transfer function.
wo: floatDesired cutoff, as angular frequency (e.g., rad/s). Defaults to no change.
Returns
z: ndarrayZeros of the transformed high-pass filter transfer function.
p: ndarrayPoles of the transformed high-pass filter transfer function.
k: floatSystem gain of the transformed high-pass filter.
Notes
This is derived from the s-plane substitution
This maintains symmetry of the lowpass and highpass responses on a logarithmic scale.
Examples
Use the 'zpk' (Zero-Pole-Gain) representation of a lowpass filter to transform it to a highpass filter with a cutoff frequency wo.from scipy.signal import lp2hp_zpk z = [ -2 + 3j , -0.5 - 0.8j ] p = [ -1 , -4 ] k = 10 wo = 0.6✓
lp2hp_zpk(z, p, k, wo)
✗(array([-0.09230769-0.13846154j, -0.33707865+0.53932584j]), array([-0.6 , -0.15]), np.float64(8.5))
See also
Aliases
scipy.signal.lp2hp_zpk