Multichannel blind identification with unknown number of sources

Jun Wang, Zhenya He

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

A trispectra method for solving the m-input n-output (n≥m) wideband blind identification and signal separation problem with unknown number of sources m is presented. The method is universal in the sense that it does not impose any restriction on the probability distribution of the input signals provided that they are non-Gaussian. A criterion, which states a sufficient condition for identification and separation, has been proved. An algorithm is also developed based on the criterion, whose efficiency is verified by the simulations.

Original languageEnglish
Pages670-675
Number of pages6
Publication statusPublished - 1996
Externally publishedYes
EventProceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2) - Perth, Aust
Duration: 26 Nov 199629 Nov 1996

Conference

ConferenceProceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2)
CityPerth, Aust
Period26/11/9629/11/96

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