functional_lfilter: An IIR Filter (functional)

In curso-r/torchaudio: R Interface to 'pytorch''s 'torchaudio'

An IIR Filter (functional)

Description

Perform an IIR filter by evaluating difference equation.

Usage

functional_lfilter(waveform, a_coeffs, b_coeffs, clamp = TRUE)

Arguments

waveform	(Tensor): audio waveform of dimension of ⁠(..., time)⁠. Must be normalized to -1 to 1.
a_coeffs	(Tensor): denominator coefficients of difference equation of dimension of (n_order + 1). Lower delays coefficients are first, e.g. ⁠[a0, a1, a2, ...]⁠. Must be same size as b_coeffs (pad with 0's as necessary).
b_coeffs	(Tensor): numerator coefficients of difference equation of dimension of (n_order + 1). Lower delays coefficients are first, e.g. ⁠[b0, b1, b2, ...]⁠. Must be same size as a_coeffs (pad with 0's as necessary).
clamp	(bool, optional): If TRUE, clamp the output signal to be in the range [-1, 1] (Default: TRUE)

Value

tensor: Waveform with dimension of ⁠(..., time)⁠.

curso-r/torchaudio documentation built on May 4, 2023, 2:27 a.m.