Speech echo cancellation processing based on RLS algorithm (with Matlab code)
Introduction:
Speech echo refers to the delay and distortion caused by sound signals encountering obstacles or reflective surfaces during propagation. In actual communication and speech processing, echo can significantly reduce speech quality and speech recognition accuracy. Therefore, echo cancellation is an important audio signal processing task. This article will introduce how to use the recursive least squares (RLS) algorithm to implement speech echo cancellation, and provide the corresponding Matlab code.
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Introduction to the RLS algorithm
The Recursive Least Squares (RLS) algorithm is an adaptive filter design method used to estimate the relationship between the input signal and the filter coefficients. It continuously approaches the desired output signal by recursively updating the filter coefficients. In speech echo cancellation, the RLS algorithm can estimate filter coefficients based on known echo signals and input speech signals to eliminate echoes. -
RLS algorithm implementation steps
The following are the basic steps to use the RLS algorithm to implement speech echo cancellation:
Step 1: Initialize filter coefficients
We first need to initialize the filter coefficients. In the RLS algorithm, the filter coefficients are represented as a column vector. Filter coefficients can be initialized to zero vectors.
order = 10; % 滤波器阶数
filter_coeff = zeros(order