Multi-channel signal separation based on cross-bispectra

D. Yellin; E. Weinstein

doi:10.1109/HOST.1993.264553

Multi-channel signal separation based on cross-bispectra

D. Yellin, E. Weinstein

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	Proceedings - IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	270-274
Number of pages	5
ISBN (Electronic)	0780312384, 9780780312388
DOIs	https://doi.org/10.1109/HOST.1993.264553
State	Published - 1993
Event	1993 IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993 - South Lake Tahoe, United States Duration: 7 Jun 1993 → 9 Jun 1993

Publication series

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

Conference

Conference	1993 IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993
Country/Territory	United States
City	South Lake Tahoe
Period	7/06/93 → 9/06/93

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10.1109/HOST.1993.264553

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Yellin, D., & Weinstein, E. (1993). Multi-channel signal separation based on cross-bispectra. In Proceedings - IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993 (pp. 270-274). [264553] (Proceedings - IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HOST.1993.264553

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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.",

author = "D. Yellin and E. Weinstein",

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Yellin, D & Weinstein, E 1993, Multi-channel signal separation based on cross-bispectra. in Proceedings - IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993., 264553, Proceedings - IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993, Institute of Electrical and Electronics Engineers Inc., pp. 270-274, 1993 IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993, South Lake Tahoe, United States, 7/06/93. https://doi.org/10.1109/HOST.1993.264553

Multi-channel signal separation based on cross-bispectra. / Yellin, D.; Weinstein, E.

Proceedings - IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993. Institute of Electrical and Electronics Engineers Inc., 1993. p. 270-274 264553 (Proceedings - IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Multi-channel signal separation based on cross-bispectra

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