A family of frequency- and time-domain contrasts for blind separation of convolutive mixtures of temporally dependent signals

Marc Castella, Jean Christophe Pesquet, Athina P. Petropulu

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

This paper addresses the problem of blind separation of convolutive mixtures via contrast maximization. New frequency domain contrast functions are constructed based on higher order spectra of the observations. They allow to separate mixtures of sources that are spatially independent and temporally possibly nonlinear processes. Using Parseval's formula, the former criteria yield a general class of time-domain contrasts, which extends to the convolutive case results that have been previously obtained in the context either of instantaneous mixtures or of independent and identically distributed (i.i.d.) sources. A Monte Carlo simulation study is carried out for comparison between the different contrasts, thus providing a guideline about the choice of an appropriate contrast.

Original languageEnglish (US)
Pages (from-to)107-120
Number of pages14
JournalIEEE Transactions on Signal Processing
Volume53
Issue number1
DOIs
StatePublished - Jan 2005
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

Keywords

  • Blind source separation
  • Convolutive mixture
  • Deconvolution
  • Higher order statistics
  • MIMO systems
  • Multiuser communications

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