Multichannel signal modeling and separation

Sanyogita Shamsunder, Georgios B. Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Separation of multiple signals from their superposition recorded at several sensors is addressed. The methods employ polyspectra of the sensor data in order to extract the unknown signals and estimate the exact coupling systems via a linear equation based method. Proposed schemes are also useful for multichannel blind deconvolution even when the input signals are colored with (possibly) overlapping spectra. Simulation results corroborate the applicability of the algorithm.

Original languageEnglish (US)
Title of host publicationIEEE Digital Signal Processing Workshop
Editors Anon
PublisherIEEE
Pages173-176
Number of pages4
StatePublished - Dec 1 1994
EventProceedings of the 1994 6th IEEE Digital Signal Processing Workshop - Yosemite, CA, USA
Duration: Oct 2 1994Oct 5 1994

Other

OtherProceedings of the 1994 6th IEEE Digital Signal Processing Workshop
CityYosemite, CA, USA
Period10/2/9410/5/94

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