copapy.filters.highpass#

copapy.filters.highpass(a, cutoff, numtaps=None, window='hamming', fs=2.0, width=None)#

High-pass filter (firwin FIR filter) with no delay, the input is extended with zeros beyond its edges, which affects the first and last (numtaps - 1) / 2 samples.

Overloads:

  • a (vector[Any]), cutoff (float), numtaps (int | None) = None, window (str) = 'hamming', fs (float) = 2.0, width (float | None) = None → vector[float]

  • a (tensor[Any]), cutoff (float), numtaps (int | None) = None, window (str) = 'hamming', fs (float) = 2.0, width (float | None) = None → tensor[float]

  • a (array[Any] | Sequence[float | value[Any]]), cutoff (float), numtaps (int | None) = None, window (str) = 'hamming', fs (float) = 2.0, width (float | None) = None → array[float]

Parameters:

  • a (Any) – Samples as 1D vector, tensor, array or sequence

  • cutoff (float) – Cutoff frequency (halved amplitude) in the unit of fs

  • numtaps (int | None) – Odd number of filter coefficients, more coefficients give a steeper transition between stop band and pass band.

  • window (str) – ‘hamming’, ‘hann’, ‘blackman’ or ‘rectangular’

  • fs (float) – Sampling frequency, cutoff is relative to the Nyquist frequency.

  • width (float | None) – Width of the transition between pass band and stop band in the unit of fs, used to estimate numtaps if it is not given. The default is half the distance of the cutoff to the nearest band edge.

Returns:

Filtered samples with the length and type of the input.

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