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Transform a lowpass filter prototype to a highpass filter.
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_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 cutoff, as angular frequency (e.g., rad/s).
Defaults to no change.
Returns
-------
z : ndarray
Zeros of the transformed high-pass filter transfer function.
p : ndarray
Poles of the transformed high-pass filter transfer function.
k : float
System gain of the transformed high-pass filter.
See Also
--------
lp2lp_zpk, lp2bp_zpk, lp2bs_zpk, bilinear
lp2hp
Notes
-----
This is derived from the s-plane substitution
.. math:: s \rightarrow \frac{\omega_0}{s}
This maintains symmetry of the lowpass and highpass responses on a
logarithmic scale.
.. versionadded:: 1.1.0
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]),
8.5)
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