Second order nonstationary source separation

Seungjin Choi, Andrzej Cichocki, Adel Beloucharni

Research output: Contribution to journalArticlepeer-review

81 Citations (Scopus)

Abstract

This paper addresses a method of blind source separation that jointly exploits the nonstationarity and temporal structure of sources. The method needs only multiple time-delayed correlation matrices of the observation data, each of which is evaluated at different time-windowed data frame, to estimate the demixing matrix. The method is insensitive to the temporally white noise since it is based on only time-delayed correlation matrices (with non-zero time-lags) and is applicable to the case of either nonstationary sources or temporally correlated sources. We also discuss the extension of some existing methods with the overview of second-order blind source separation methods. Extensive numerical experiments confirm the validity and high performance of the proposed method.

Original languageEnglish
Pages (from-to)93-104
Number of pages12
JournalJournal of VLSI Signal Processing Systems for Signal, Image, and Video Technology
Volume32
Issue number1-2
DOIs
Publication statusPublished - 2002
Externally publishedYes

Keywords

  • Blind source separation
  • Joint approximate diagonalization
  • Noisy mixtures
  • Nonstationarity
  • Simultaneous diagonalization
  • Temporal correlations

Fingerprint

Dive into the research topics of 'Second order nonstationary source separation'. Together they form a unique fingerprint.

Cite this