Mathematical view of a blind source separation on a time frequency space

Keiko Fujita*, Yoshitsugu Takei, Akira Morimoto, Ryuichi Ashino

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

To treat the blind source separation problems, in many cases, either statistical independence or statistical orthogonality (uncorrelation) on the sources has been assumed. Napoletani-Berenstein-Krishnaprasad treated the problem under the linear independence of the windowed Fourier transforms of sources and the continuity of density functions defined statistically. In this paper, another independence of the windowed Fourier transforms of sources in a time-frequency domain is proposed without assuming any statistical conditions. This paper is a summary of the authors' submitted papers.

Original languageEnglish
Pages (from-to)153-162
Number of pages10
JournalApplied Mathematics and Computation
Volume187
Issue number1 SPEC. ISS.
DOIs
StatePublished - 2007/04/01

Keywords

  • Blind source separation
  • Time-frequency analysis
  • Wavelet

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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