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Blind source separation using second-order cyclostationary statistics
journal contribution
posted on 2001-04-01, 00:00 authored by K Abed-Meraim, Yong XiangYong Xiang, J Manton, Y HuaThis 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 .
History
Journal
IEEE transactions on signal processingVolume
49Issue
4Pagination
694 - 701Publisher
Institute of Electrical and Electronics Engineers (IEEE)Location
Piscataway, N.J.Publisher DOI
ISSN
1053-587XeISSN
1941-0476Language
engPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
2001, IEEEUsage metrics
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