Robust batch algorithm for sequential blind extraction of noisy biomedical signals

Andrzej Cichocki, Allan Kardec Barros

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

18 Citations (Scopus)

Abstract

In many applications, especially in biomedical signal processing (like EEG/MEG time series), source signals are noisy and some have kurtosis close to zero. Most known algorithms for blind signal extraction fail to separate all desired sources if the kurtosis is very low or equals zero. In this paper we propose a new simple second order statistic batch algorithm which is able to efficiently extract various temporally correlated sources even if they have very small or even zero kurtosis, for example colored Gaussian sources. Computer simulation examples illustrate validity and performance of the proposed approach for noisy biomedical signals.

Original languageEnglish
Title of host publicationISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications
PublisherIEEE Computer Society
Pages363-366
Number of pages4
ISBN (Print)1864354518, 9781864354515
DOIs
Publication statusPublished - 1999
Externally publishedYes
Event5th International Symposium on Signal Processing and Its Applications, ISSPA 1999 - Brisbane, QLD, Australia
Duration: 22 Aug 199925 Aug 1999

Publication series

NameISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications
Volume1

Conference

Conference5th International Symposium on Signal Processing and Its Applications, ISSPA 1999
Country/TerritoryAustralia
CityBrisbane, QLD
Period22/08/9925/08/99

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