Equivalence between frequency domain blind source separation and frequency domain adaptive beamforming

Shoko Araki, Shoji Makino, Ryo Mukai, Yoichi Hinamoto, Tsuyoki Nishikawa, Hiroshi Saruwatari

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Frequency domain Blind Source Separation (BSS) is shown to be equivalent to two sets of frequency domain adaptive microphone arrays, i.e., Adaptive Beamformers (ABFs). The minimization of the off-diagonal components in the BSS update equation can be viewed as the minimization of the mean square error in the ABF. The unmixing matrix of the BSS and the filter coefficients of the ABF converge to the same solution in the mean square error sense if the two source signals are ideally independent. Therefore, the performance of the BSS is limited by that of the ABF. This understanding gives an interpretation of BSS from physical point of view.

Original languageEnglish
Pages (from-to)1785-1788
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
DOIs
Publication statusPublished - 2002
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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