Blind signal separation using fixed overcomplete basis function dictionaries

P Sugden, CN Canagarajah

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Abstract

A solution for achieving blind separation for underdetermined systems is to use an overcomplete basis function set that has the ability to span all possible inputs. Ideally, such a basis would be learned for each set of inputs but this is computationally expensive. A less processor intensive system is shown using a fixed dictionary of basis functions learned from existing sources and reduced using a correlation-based method. The relation between dictionary size and separation performance for underdetermined scenarios is examined and we demonstrate that a reduced dictionary can produce comparable results using less computational power.
Translated title of the contributionBlind signal separation using fixed overcomplete basis function dictionaries
Original languageEnglish
Title of host publication2003 International Symposium on Circuits and Systems, 2003 (ISCAS '03)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
PagesIII-44 - III-47
Number of pages4
VolumeIII
ISBN (Print)0780377613
DOIs
Publication statusPublished - May 2003
EventInternational Symposium on Circuits and Systems, 2003 - Bangkok, Thailand
Duration: 1 May 2003 → …

Conference

ConferenceInternational Symposium on Circuits and Systems, 2003
Abbreviated titleISCAS '03
CountryThailand
CityBangkok
Period1/05/03 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: The authors would like to thank the support from the U.K. MOD TGOl CRP Fellowship project.

Terms of use: Copyright © 2003 IEEE. Reprinted from 2003 International Symposium on Circuits and Systems, 2003 (ISCAS '03).

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