Correlation matching approach to source separation in the presence of spatially correlated noise

Seungjin Choi, Andnej Cichocki

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

6 Citations (Scopus)

Abstract

This paper addresses a new method of source separation that is robust in the presence of spatially correlated but temporally white noise. The method exploits the non-vanishing temporal structure of sources to reduce the effect of noise. In the framework of correlation matching, we develop two efficient least squares algorithms. Useful behavior of the proposed algorithms is confirmed by numerical experiments.

Original languageEnglish
Title of host publication6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Proceedings; 6 Tutorials in Communications, Image Processing and Signal Analysis
PublisherIEEE Computer Society
Pages272-275
Number of pages4
ISBN (Print)0780367030, 9780780367036
DOIs
Publication statusPublished - 2001
Externally publishedYes
Event6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Kuala Lumpur, Malaysia
Duration: 13 Aug 200116 Aug 2001

Publication series

Name6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Proceedings; 6 Tutorials in Communications, Image Processing and Signal Analysis
Volume1

Conference

Conference6th International Symposium on Signal Processing and Its Applications, ISSPA 2001
Country/TerritoryMalaysia
CityKuala Lumpur
Period13/08/0116/08/01

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