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  1. butter — SciPy v1.16.2 Manual

    For lowpass and highpass filters, Wn is a scalar; for bandpass and bandstop filters, Wn is a length-2 sequence. For a Butterworth filter, this is the point at which the gain drops to 1/sqrt (2) that of the …

  2. filtfilt — SciPy v1.16.2 Manual

    This function applies a linear digital filter twice, once forward and once backwards. The combined filter has zero phase and a filter order twice that of the original.

  3. scipy.signal.butter — SciPy v1.9.0 Manual

    For lowpass and highpass filters, Wn is a scalar; for bandpass and bandstop filters, Wn is a length-2 sequence. For a Butterworth filter, this is the point at which the gain drops to 1/sqrt (2) that of the …

  4. buttord — SciPy v1.16.2 Manual

    Butterworth filter order selection. Return the order of the lowest order digital or analog Butterworth filter that loses no more than gpass dB in the passband and has at least gstop dB attenuation in the …

  5. scipy.signal.butter — SciPy v0.14.0 Reference Guide

    May 11, 2014 · Butterworth digital and analog filter design. Design an Nth order digital or analog Butterworth filter and return the filter coefficients in (B,A) or (Z,P,K) form.

  6. scipy.signal.butter — SciPy v1.4.0 Reference Guide

    Dec 16, 2019 · For lowpass and highpass filters, Wn is a scalar; for bandpass and bandstop filters, Wn is a length-2 sequence. For a Butterworth filter, this is the point at which the gain drops to 1/sqrt (2) …

  7. scipy.signal.butter — SciPy v1.2.1 Reference Guide

    Feb 10, 2019 · Design a digital high-pass filter at 15 Hz to remove the 10 Hz tone, and apply it to the signal. (It’s recommended to use second-order sections format when filtering, to avoid numerical …

  8. scipy.signal.butter — SciPy v1.7.1 Manual

    For lowpass and highpass filters, Wn is a scalar; for bandpass and bandstop filters, Wn is a length-2 sequence. For a Butterworth filter, this is the point at which the gain drops to 1/sqrt (2) that of the …

  9. lfilter — SciPy v1.16.2 Manual

    The filter is a direct form II transposed implementation of the standard difference equation (see Notes). The function sosfilt (and filter design using output='sos') should be preferred over lfilter for most …

  10. Signal processing (scipy.signal) — SciPy v1.16.2 Manual

    Signal processing (scipy.signal) # Convolution # ... B-splines # ... Filtering # ... Filter design # ... Lower-level filter design functions: