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
收藏
页码：321 / 324
页数：4
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