An improved solution to the subband blind source separation permutation problem based on optimized filter banks

Bo Peng, Wei Liu, Danilo P. Mandie

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

Subband based blind source separation (BSS) has a great potential in solving the complicated convolutive mixing problems. However, its performance is largely affected by the permutation ambiguity problem during the synthesis stage. Researchers have suggested methods to correct the permutation by using the correlation information between adjacent frequencies/subbands. In this paper, we propose an improved solution to this permutation problem based on a novel filter banks design method, which uses a model that includes inter-subband correlations as part of the optimization criterion. Simulation results show that a much better subband permutation alignment has been achieved, leading to an improved overall separation result.

Original languageEnglish
Title of host publicationFinal Program and Abstract Book - 4th International Symposium on Communications, Control, and Signal Processing, ISCCSP 2010
DOIs
Publication statusPublished - May 2010
Event4th International Symposium on Communications, Control, and Signal Processing, ISCCSP-2010 - Limassol, Cyprus
Duration: 3 Mar 20105 Mar 2010

Publication series

NameFinal Program and Abstract Book - 4th International Symposium on Communications, Control, and Signal Processing, ISCCSP 2010

Conference

Conference4th International Symposium on Communications, Control, and Signal Processing, ISCCSP-2010
Country/TerritoryCyprus
CityLimassol
Period3/03/105/03/10

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering

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