SOURCE-DOMAIN ADAPTIVE FILTERING FOR MIMO SYSTEMS WITH APPLICATION TO ACOUSTIC ECHO CANCELLATION

被引：9

作者：

Helwani, Karim ^{[1
]}

Buchner, Herbert ^{[1
]}

Spors, Sascha ^{[1
]}

机构：

[1] Berlin Univ Technol, Deutsch Telekom Labs, D-10587 Berlin, Germany

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2010年

关键词：

multichannel acoustic echo cancellation; transform-domain; basis estimation; adaptive filtering;

D O I：

10.1109/ICASSP.2010.5495894

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Combining the channels of a multiple input/multiple output (MIMO) system into suitably chosen modes by a domain transformation offers great improvements of adaptive filtering algorithms. In this paper we present an algorithm for adaptive MIMO filtering, called source-domain adaptive filtering (SDAF), with application to multichannel acoustic echo cancellation operating in an optimally adjusted transform domain without requiring a-priori knowledge about the system. Experimental results show a significant performance improvement compared to fixed transformation bases.

引用

页码：321 / 324

页数：4

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