Thin QR and SVD factorizations for simultaneous blind signal extraction

Sergio Cruces, Andrzej Cichocki, Lieven De Lathauwer

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

19 Citations (SciVal)

Abstract

This paper studies the problem of the simultaneous blind signal extraction of a subset of independent components from a linear mixture. In order to solve it in a robust manner, we consider the optimization of contrast functions that jointly exploit the information provided by several cumulant tensors of the observations. We develop hierarchical and simultaneous ICA extraction algorithms that are able to optimize the proposed contrast functions. These algorithms are based on the thin-QR and thin-SVD factorizations of a matrix of weighted cross-statistics between the observations and outputs. Simulations illustrate the good performance of the proposed methods.

Original languageEnglish
Title of host publication2004 12th European Signal Processing Conference, EUSIPCO 2004
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages217-220
Number of pages4
ISBN (Electronic)9783200001657
Publication statusPublished - 3 Apr 2015
Externally publishedYes
Event12th European Signal Processing Conference, EUSIPCO 2004 - Vienna, Austria
Duration: 6 Sep 200410 Sep 2004

Publication series

NameEuropean Signal Processing Conference
Volume06-10-September-2004
ISSN (Print)2219-5491

Conference

Conference12th European Signal Processing Conference, EUSIPCO 2004
Country/TerritoryAustria
CityVienna
Period6/09/0410/09/04

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