lp2lp(b, a, wo=1.0)
Return an analog low-pass filter with cutoff frequency :None:None:`wo` from an analog low-pass filter prototype with unity cutoff frequency, in transfer function ('ba') representation.
This is derived from the s-plane substitution
$$s \rightarrow \frac{s}{\omega_0}$$Numerator polynomial coefficients.
Denominator polynomial coefficients.
Desired cutoff, as angular frequency (e.g. rad/s). Defaults to no change.
Numerator polynomial coefficients of the transformed low-pass filter.
Denominator polynomial coefficients of the transformed low-pass filter.
Transform a lowpass filter prototype to a different frequency.
>>> from scipy import signal
... import matplotlib.pyplot as plt
>>> lp = signal.lti([1.0], [1.0, 1.0])
... lp2 = signal.lti(*signal.lp2lp(lp.num, lp.den, 2))
... w, mag_lp, p_lp = lp.bode()
... w, mag_lp2, p_lp2 = lp2.bode(w)
>>> plt.plot(w, mag_lp, label='Lowpass')See :
... plt.plot(w, mag_lp2, label='Transformed Lowpass')
... plt.semilogx()
... plt.grid()
... plt.xlabel('Frequency [rad/s]')
... plt.ylabel('Magnitude [dB]')
... plt.legend()
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.signal._filter_design.lp2hp
scipy.signal._filter_design.lp2lp
scipy.signal._filter_design.lp2bs
scipy.signal._filter_design.lp2bp
scipy.signal._filter_design.bilinear
scipy.signal._filter_design.lp2lp_zpk
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