A technical review on adaptive algorithms for acoustic echo cancellation

Abhishek Deb, Asutosh Kar, M. Chandra
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引用次数: 24

Abstract

Acoustic echo is one of the most important issues in communication. It creates disturbance in day-to-day communication. This echo can be cancelled using adaptive filters which are governed by adaptive algorithms. Right from the introduction of Least Mean Square (LMS) algorithm, over the years, a lot of research has been done in this field in order to develop new algorithms which can effectively drive the filter to give better performance. In this review paper, we have studied and discussed all the previous work done on these algorithms in relation to acoustic echo cancellation. This paper contains the basic review of all such existing algorithms as well as their merits and demerits. It covers the basic algorithms like LMS algorithm, Recursive Least Square algorithm as well as their modified versions like Normalized Least Mean Square algorithm, Fractional Least Mean Square algorithm, Filtered-x Least Mean Square algorithm etc. Finally, a tabular comparison has been given towards the end of the paper in order to conclude the discussion.
回声消除自适应算法研究进展
声回波是通信中的重要问题之一。它对日常交流造成干扰。这种回声可以使用由自适应算法控制的自适应滤波器来消除。自最小均方算法(LMS)提出以来,多年来人们对该领域进行了大量的研究,以开发新的算法来有效地驱动滤波器,使其具有更好的性能。在这篇综述文章中,我们研究和讨论了所有这些算法在声学回波消除方面所做的工作。本文对现有的各种算法进行了综述,并对它们的优缺点进行了分析。它涵盖了LMS算法,递归最小二乘算法等基本算法以及它们的改进版本,如归一化最小均方算法,分数最小均方算法,滤波-x最小均方算法等。最后,在本文的最后,给出了一个表格的比较,以结束讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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