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scipy.signal.

# cheb2ord

scipy.signal.cheb2ord(wp, ws, gpass, gstop, analog=False, fs=None)

  Chebyshev type II filter order selection.

  Return the order of the lowest order digital or analog Chebyshev Type II filter that loses no more than gpass dB in the passband and has at least gstop dB attenuation in the stopband.

  Parameters:
    wp, wsfloat

      Passband and stopband edge frequencies.

      For digital filters, these are in the same units as fs. By default, fs is 2 half-cycles/sample, so these are normalized from 0 to 1, where 1 is the Nyquist frequency. (wp and ws are thus in half-cycles / sample.) For example:

      > - Lowpass: wp = 0.2, ws = 0.3

      > - Highpass: wp = 0.3, ws = 0.2

      > - Bandpass: wp = [0.2, 0.5], ws = [0.1, 0.6]

      > - Bandstop: wp = [0.1, 0.6], ws = [0.2, 0.5]

      For analog filters, wp and ws are angular frequencies (e.g., rad/s).

    gpassfloat

      The maximum loss in the passband (dB).

    gstopfloat

      The minimum attenuation in the stopband (dB).

    analogbool, optional

      When True, return an analog filter, otherwise a digital filter is returned.

    fsfloat, optional

      The sampling frequency of the digital system.

      Added in version 1.2.0.

  Returns:
    ordint

      The lowest order for a Chebyshev type II filter that meets specs.

    wnndarray or float

      The Chebyshev natural frequency (the “3dB frequency”) for use with `cheby2` to give filter results. If fs is specified, this is in the same units, and fs must also be passed to `cheby2`.

  See also

  `cheby2`

    Filter design using order and critical points

  `buttord`

    Find order and critical points from passband and stopband spec

  `cheb1ord`, `ellipord`
  `iirfilter`

    General filter design using order and critical frequencies

  `iirdesign`

    General filter design using passband and stopband spec

  Examples

  Design a digital bandstop filter which rejects -60 dB from 0.2*(fs/2) to 0.5*(fs/2), while staying within 3 dB below 0.1*(fs/2) or above 0.6*(fs/2). Plot its frequency response, showing the passband and stopband constraints in gray.

      >>> from scipy import signal
      >>> import matplotlib.pyplot as plt
      >>> import numpy as np

      >>> N, Wn = signal.cheb2ord([0.1, 0.6], [0.2, 0.5], 3, 60)
      >>> b, a = signal.cheby2(N, 60, Wn, 'stop')
      >>> w, h = signal.freqz(b, a)
      >>> plt.semilogx(w / np.pi, 20 * np.log10(abs(h)))
      >>> plt.title('Chebyshev II bandstop filter fit to constraints')
      >>> plt.xlabel('Normalized frequency')
      >>> plt.ylabel('Amplitude [dB]')
      >>> plt.grid(which='both', axis='both')
      >>> plt.fill([.01, .1, .1, .01], [-3,  -3, -99, -99], '0.9', lw=0) # stop
      >>> plt.fill([.2,  .2, .5,  .5], [ 9, -60, -60,   9], '0.9', lw=0) # pass
      >>> plt.fill([.6,  .6,  2,   2], [-99, -3,  -3, -99], '0.9', lw=0) # stop
      >>> plt.axis([0.06, 1, -80, 3])
      >>> plt.show()