Comparison Analysis Of Multi-Channel Echo Cancellation Using Adaptive Filters

被引：0

作者：

Mobeen, Sahar ^{[1
]}

Baig, Iram ^{[1
]}

Rafique, Anum ^{[1
]}

机构：

[1] Univ Engn & Technol, Comp Engn, Taxila, Pakistan

来源：

2015 INTERNATIONAL CONFERENCE ON OPEN SOURCE SYSTEMS & TECHNOLOGIES (ICOSST) | 2015年

关键词：

LMS; LLMS; NLMS; AFA; ANLLMS;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Acoustic echo cancellation in multichannel is a system identification application. In real time environment, signal changes very rapidly which required adaptive algorithms such as Least Mean Square (LMS), Leaky Least Mean Square (LLMS), Normalized Least Mean square (NLMS) and average (AFA) having high convergence rate and stable [2]. LMS and NLMS are widely used adaptive algorithm due to less computational complexity and AFA used of its high convergence rate. This research is based on comparison of acoustic echo (generated in a room) cancellation through LMS, LLMS, NLMS, AFA and newly proposed average normalized leaky least mean square (ANLLMS) adaptive filters.

引用

页码：137 / 140

页数：4

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