Multi-channel signal separation based on cross-bispectra

D. Yellin, E. Weinstein

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

8 Scopus citations

Abstract

The authors consider the problem in which they want to separate two (or more) signals that are coupled to each other through an unknown multiple-input-multiple-output linear time invariant system. They prove that the signals can be decoupled, or separated, using only the condition that they are statistically independent, and find even weaker sufficient conditions involving their cross-bispectra. By imposing these conditions on the reconstructed signals, they obtain a criterion for signal separation. A computationally efficient iterative algorithm for solving the proposed criterion, that only involves the iterative solution to a linear least squares problem, is presented.

Original languageEnglish
Title of host publicationProceedings - IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages270-274
Number of pages5
ISBN (Electronic)0780312384, 9780780312388
DOIs
StatePublished - 1993
Event1993 IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993 - South Lake Tahoe, United States
Duration: 7 Jun 19939 Jun 1993

Publication series

NameProceedings - IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993

Conference

Conference1993 IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993
Country/TerritoryUnited States
CitySouth Lake Tahoe
Period7/06/939/06/93

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