Equivalence between Frequency-Domain Blind Source Separation and Frequency-Domain Adaptive Beamforming for Convolutive Mixtures

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

*この研究の対応する著者

研究成果: Article査読

69 被引用数 (Scopus)

抄録

Frequency-domain blind source separation (ESS) is shown to be equivalent to two sets of frequency-domain adaptive beamformers (ABFs) under certain conditions. The zero search of the off-diagonal components in the BSS update equation can be viewed as the minimization of the mean square error in the ABFs. The unmixing matrix of the BSS and the filter coefficients of the ABFs converge to the same solution if the two source signals are ideally independent. If they are dependent, this results in a bias for the correct unmixing filter coefficients. Therefore, the performance of the BSS is limited to that of the ABF if the ABF can use exact geometric information. This understanding gives an interpretation of BSS from a physical point of view.

本文言語English
ページ(範囲)1157-1166
ページ数10
ジャーナルEurasip Journal on Applied Signal Processing
2003
11
DOI
出版ステータスPublished - 2003 10月 1
外部発表はい

ASJC Scopus subject areas

  • 信号処理
  • ハードウェアとアーキテクチャ
  • 電子工学および電気工学

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