A new ICA method based on a lattice of the observation space

M. R. Alvarez, F. Rojas, C. G. Puntonet, F. Theis, E. W. Lang

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

Abstract

This work shows a new method for blind separation of sources, based on geometrical considerations concerning the observation space. This new method is applied to a mixture of several sources and it obtains the estimated coefficients of the unknown mixture matrix A and separates the unknown sources. The principles of the new method and a description of the algorithm followed by some speed enhancements are shown. Finally, we illustrate with simulations of several source distributions how the algorithm performs.

Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Information Fusion, FUSION 2003
PublisherIEEE Computer Society
Pages1416-1421
Number of pages6
ISBN (Print)0972184449, 9780972184441
DOIs
StatePublished - 2003
Externally publishedYes
Event6th International Conference on Information Fusion, FUSION 2003 - Cairns, QLD, Australia
Duration: 8 Jul 200311 Jul 2003

Publication series

NameProceedings of the 6th International Conference on Information Fusion, FUSION 2003
Volume2

Conference

Conference6th International Conference on Information Fusion, FUSION 2003
Country/TerritoryAustralia
CityCairns, QLD
Period8/07/0311/07/03

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