On the indeterminacies of convolutive blind signal separation based on second-order statistics

D.W.E. Schobben, P.C.W. Sommen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
83 Downloads (Pure)

Abstract

Recently, several blind signal separation algorithms have been developed which are based on second order statistics. Little has been published however on whether second order statistics are sufficient to obtain a unique solution. Especially for applications that involve convolutive mixing and unmixing of signals that are correlated in time, there is a lack of knowledge on why and in what cases second order statistics suffice. This paper investigates the indeterminacies that are introduced when second order statistics are used and presents a theorem for the unmixing system to be uniquely found using second order statistics.
Original languageEnglish
Title of host publicationProc. ISSPA '99, Fifth International Symposium on Signal Processing and its Applications
EditorsM. Deriche, B. Boashash, W.W. Boles
Place of PublicationBrisbane, QLD, Australia
PublisherQueensland University of Technology
Pages215-218
ISBN (Print)1 86435 451 8
Publication statusPublished - 1999
EventISSPA '99, Fifth International Symposium on Signal Processing and its Applications - Brisbane, Australia
Duration: 22 Aug 199925 Aug 1999

Conference

ConferenceISSPA '99, Fifth International Symposium on Signal Processing and its Applications
CountryAustralia
CityBrisbane
Period22/08/9925/08/99

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