DocumentCode
409596
Title
Blind signal separation of convolutive mixtures
Author
Baxter, P.D. ; McWhirter, J.G.
Author_Institution
Malvern Technol. Centre, QinetiQ Ltd., Malvern, UK
Volume
1
fYear
2003
fDate
9-12 Nov. 2003
Firstpage
124
Abstract
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.
Keywords
blind source separation; matrix algebra; statistics; telecommunication channels; blind signal separation; convolutive mixtures; hidden paraunitary matrix; second order statistics; signal decorrelation; spectral equalisation; Blind source separation; Decorrelation; Higher order statistics; Independent component analysis; Matrix decomposition; Sensor arrays; Signal processing; Signal processing algorithms; Source separation; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on
Print_ISBN
0-7803-8104-1
Type
conf
DOI
10.1109/ACSSC.2003.1291882
Filename
1291882
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