Blind source separation using second-order cyclostationary statistics

Abed-Meraim, K., Xiang, Yong, Manton, J. H. and Hua, Yingbo 2001, Blind source separation using second-order cyclostationary statistics, IEEE transactions on signal processing, vol. 49, no. 4, pp. 694-701.

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Title Blind source separation using second-order cyclostationary statistics
Author(s) Abed-Meraim, K.
Xiang, Yong
Manton, J. H.
Hua, Yingbo
Journal name IEEE transactions on signal processing
Volume number 49
Issue number 4
Start page 694
End page 701
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Place of publication Piscataway, N.J.
Publication date 2001-04
ISSN 1053-587X
1941-0476
Keyword(s) identification
iterative methods
signal processing
statistical analysis
Summary This paper studies the blind source separation (BSS) problem with the assumption that the source signals are cyclostationary. Identifiability and separability criteria based on second-order cyclostationary statistics (SOCS) alone are derived. The identifiability condition is used to define an appropriate contrast function. An iterative algorithm (ATH2) is derived to minimize this contrast function. This algorithm separates the sources even when they do not have distinct cycle frequencies .
Language eng
Field of Research 090609 Signal Processing
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2001, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30006629

Document type: Journal Article
Collection: School of Engineering and Technology
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