Underdetermined blind separation using learned basis function sets

P Sugden, CN Canagarajah

Research output: Contribution to journalArticle (Academic Journal)peer-review

4 Citations (Scopus)


Blind separation from an underdetermined system is approached using a learned basis function dictionary. An overcomplete basis function set is learned from individual speech samples and the combined set reduced in size by eliminating similar functions. This library is then used as an effective overcomplete basis set for separation
Translated title of the contributionUnderdetermined blind separation using learned basis function sets
Original languageEnglish
Pages (from-to)158 - 160
JournalElectronics Letters
Issue number1
Publication statusPublished - Jan 2003

Bibliographical note

Publisher: Institution of Electrical Engineers (IEE)
Rose publication type: Journal article

Sponsorship: The authors wish to thank the UK MOD TGOl
CRP Fellowship Project for support

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