Sequential blind extraction of instantaneous mixtures with arbitrary rank

Sanqing Hu, Derong Liu, Jun Wang

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

In this paper, we present new extractability conditions for blind source extraction of linear instantaneous mixtures. Two general conditions for source extraction of arbitrarily mixed nonzero sources are presented. A sufficient condition is provided to guarantee that sequential extraction can be continued. We also show an important property for inseparable mixtures; that is, any two extracted signals involving the same sources are proportional to each other. For sub-Gaussian or sup-Gaussian source signals with only mutual independence, cost functions based on fourth-order cumulants are introduced to sequentially extract all separable single sources and all inseparable mixtures. By minimizing the cost functions, gradient-based methods are developed. Our algorithms are guaranteed to converge. Finally, simulation results show the operation characteristics and the effectiveness of our methods. © 2006 IEEE.
Original languageEnglish
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
Pages4551-4554
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 IEEE International Symposium on Circuits and Systems (ISCAS 2006): Circuits and Systems: At Crossroads of Life and Technology - Island of Kos, Greece
Duration: 21 May 200624 May 2006

Publication series

Name
ISSN (Print)0271-4310

Conference

Conference2006 IEEE International Symposium on Circuits and Systems (ISCAS 2006)
Abbreviated titleISCAS2006
PlaceGreece
CityIsland of Kos
Period21/05/0624/05/06

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