DocumentCode
423519
Title
A novel adaptive algorithm for the blind separation of periodic sources
Author
Jafari, M.G. ; Chambers, J.A.
Author_Institution
Centre for Digital Signal Process. Res., King´´s Coll. London, UK
Volume
1
fYear
2004
fDate
25-29 July 2004
Lastpage
63
Abstract
An adaptive algorithm for the blind separation of periodic sources is proposed in this paper. The method uses only the second order statistics of the data, and exploits the periodic nature of the source signals. Simulation results show that the proposed approach has the ability to restore statistical independence, and its performance is comparable to that of a well-established, higher order, blind source separation method.
Keywords
blind source separation; statistics; blind separation; blind source separation method; novel adaptive algorithm; periodic sources; second order statistics; Adaptive algorithm; Autocorrelation; Blind source separation; Delay; Digital signal processing; Educational institutions; Higher order statistics; Signal generators; Signal restoration; Source separation;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-8359-1
Type
conf
DOI
10.1109/IJCNN.2004.1379870
Filename
1379870
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