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

被引：0

作者：

Araki, S ^{[1
]}

Hinamoto, Y ^{[1
]}

Makino, S ^{[1
]}

Nishikawa, T ^{[1
]}

Mukai, R ^{[1
]}

Saruwatari, H ^{[1
]}

机构：

[1] NTT Corp, NTT Commun Sci Labs, Kyoto 6190237, Japan

来源：

2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS | 2002年

关键词：

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

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.

引用

页码：1785 / 1788

页数：4

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