Blind source extraction of instantaneous noisy mixtures using a linear predictor

Wei Liu, Danilo P. Mandic, Andrzej Cichocki

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

11 Citations (SciVal)

Abstract

The blind source extraction (BSE) problem for noisy measurements is addressed using the linear predictor method. Based on a previously proposed method for the noise-free case, we propose a new cost function with the effect of noise removed. Two novel adaptive algorithms are next introduced, one of which is based on minimisation of the normalised mean square prediction error (MSPE), whereas the other minimises the MSPE using prewhitening followed by regularisation of the demixing vector. The successful operation of these new algorithms requires the knowledge of the correlation matrix of noise.

Original languageEnglish
Title of host publicationISCAS 2006
Subtitle of host publication2006 IEEE International Symposium on Circuits and Systems, Proceedings
Pages4199-4202
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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