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一种提高稳态误差及收敛速度的回声消除算法
引用本文:江冰,叶玲,朱成健,曾为.一种提高稳态误差及收敛速度的回声消除算法[J].声学技术,2009,28(3):295-299.
作者姓名:江冰  叶玲  朱成健  曾为
作者单位:河海大学计算机及信息工程学院,江苏常州,213022
摘    要:以研究回声消除为背景,在分析比较了三种LMS自适应滤波器算法的基础上,提出了改进的LMS自适应滤波器算法。并利用Matlab进行仿真分析,通过绘制误差曲线、学习曲线,证明了改进后的算法在稳态误差以及收敛速度方面都优于之前的算法。该算法能较好地应用到IP电话中的回声消除的自适应滤波问题。

关 键 词:自适应滤波器  归一化LMS算法  延迟LMS算法  回声消除
收稿时间:2008/5/23 0:00:00
修稿时间:2008/8/1 0:00:00

An echo cancellation algorithm for improving steady state error and convergence speed
JIANG Bing,YE Ling,ZHU Cheng-jian and ZENG Wei.An echo cancellation algorithm for improving steady state error and convergence speed[J].Technical Acoustics,2009,28(3):295-299.
Authors:JIANG Bing  YE Ling  ZHU Cheng-jian and ZENG Wei
Affiliation:(College of Computer and Information Engineering, Hohai University, Changzhou 213022, Jiangsu, China)
Abstract:Based on the analysis of three LMS algorithms and the study of echo cancellation, an improved LMS algorithm is proposed. By plotting error curve and learning curve through MATLAB simulation, it is proved that the new algorithm is superior to the traditional LMS algorithm both in steady state error and convergence speed. So this is a better algorithm for adaptive filtering of echo cancellation in the IP telephone system.
Keywords:adaptive filter  normalization LMS algorithm  delay LMS algorithm  echo cancellation
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