Adaptive Filtering in Acoustic Echo Cancellation Systems - A Practical Overview

被引：0

作者：

Albu, Iuliana ^{[1
]}

Anghel, Cristian ^{[1
]}

Paleologu, Constantin ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Telecommun Dept, Bucharest, Romania

来源：

PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE - ECAI 2017 | 2017年

关键词：

Acoustic echo cancellation (AEC); adaptive filters; Least Mean Square (LMS); Recursive Least Squares (RLS); AFFINE PROJECTION ALGORITHM; NLMS ALGORITHMS; REGULARIZATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a practical overview on the adaptive algorithms used in acoustic echo cancellation (AEC) systems. It describes first the Least Mean Square (LMS) family and the variable step size (VSS) corresponding versions. It includes also the Recursive Least Squares (RLS) family, focusing on the benefits introduced by this class of adaptive algorithms (e.g., faster convergence). Finally, it discusses the QR decomposition (QRD) used for real-world implementations, which leads to the QRD-RLS algorithm. The conclusions are based on simulations considering speech signals and the echo path models from G168 ITU-T Recommendation.

引用

页数：6

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