An analysis of the CCA approach for blind source separation and its adaptive realization

Wei Liu, Danilo P. Mandic, Andrzej Cichocki

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

Abstract

An analysis of the canonical correlation analysis (CCA) approach in blind source separation is provided. In particular, it is proved that by maximizing the autocorrelation functions of the recovered signals we can separate the source signals successfully. We show that the CCA approach represents the same generalised eigenvalue decomposition problem introduced in the matrix pencil method. Finally, an adaptive blind source extraction (BSE) algorithm is derived as an online realisation of the CCA approach. Simulation results verify the proposed approach.

Original languageEnglish
Title of host publicationISCAS 2006
Subtitle of host publication2006 IEEE International Symposium on Circuits and Systems, Proceedings
Pages3590-3593
Number of pages4
Publication statusPublished - 2006
Externally publishedYes
EventISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems - Kos, Greece
Duration: 21 May 200624 May 2006

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

ConferenceISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems
Country/TerritoryGreece
CityKos
Period21/05/0624/05/06

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