Blind signal separation of convolutive mixtures

被引：0
|
作者：
Baxter, PD [1 ]
McWhirter, JG [1 ]
机构：
[1] QinetiQ Ltd, Malvern Technol Ctr, Malvern WR14 3PS, Worcs, England
来源：
CONFERENCE RECORD OF THE THIRTY-SEVENTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2 | 2003年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel algorithm is described for the blind separation of signals which have been mixed in a convolutive manner. It involves an initial process of strong, decorrelation and spectral equalisation, based entirely on second order statistics. This is followed by the identification of a hidden paraunitary matrix which necessitates the use of higher (fourth) order statistics. The hidden paraunitary matrix is built up as a carefully chosen sequence of elementary paraunitary matrices.
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页码：124 / 128
页数：5
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