IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences 2007
巻
E90-A
号
12
ページ
2835 - 2845
発行年
2007-12-01
ISSN
0916-8508
NCID
AA10826239
DOI
10.1093/ietfec/e90-a.12.2835
出版者
Oxford University Press / 電子情報通信学会 = IEICE
抄録
FeedForward (FF-) Blind Source Separation (BSS) systems have some degree of freedom in the solution space. Therefore, signal distortion is likely to occur. First, a criterion for the signal distortion is discussed. Properties of conventional methods proposed to suppress the signal distortion are analyzed. Next, a general condition for complete separation and distortion-free is derived for multi-channel FF-BSS systems. This condition is incorporated in learning algorithms as a distortion-free constraint. Computer simulations using speech signals and stationary colored signals are performed for the conventional methods and for the new learning algorithms employing the proposed distortion-free constraint. The proposed method can well suppress signal distortion, while maintaining a high source separation performance.
A distortion-free learning algorithm for feedforward multi-channel blind source separation
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