A Distortion Free Learning Algorithm for Feedforward BSS and ITS Comparative Study with Feedback BSS

Horita, Akihide; Nakayama, Kenji; Hirano, Atsushi; Dejima, Yasuhiro

doi:10.1109/ijcnn.2006.246889

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Conditions For Source Separation and Distortion-free1

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2007

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“…(17)- (23) employs only Eqs. (24) and (25) as cost functions. Equations (26) and (27) are not guaranteed to be satisfied.…”

Section: Conditions For Source Separation and Distortion-freementioning

confidence: 99%

A Distortion-Free Learning Algorithm for Feedforward Multi-Channel Blind Source Separation

Horita¹,

Nakayama²,

Hirano³

2007

IEICE Transactions on Fundamentals of Electronics, Communicatio

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Akihide HORITA †a) , Student Member, Kenji NAKAYAMA †b) , and Akihiro HIRANO †c) , Members SUMMARY 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. key words: blind source separation, signal distortion, convergence, learning algorithm, convolutive mixture

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“…(17)- (23) employs only Eqs. (24) and (25) as cost functions. Equations (26) and (27) are not guaranteed to be satisfied.…”

Section: Conditions For Source Separation and Distortion-freementioning

confidence: 99%

A Distortion-Free Learning Algorithm for Feedforward Multi-Channel Blind Source Separation

Horita¹,

Nakayama²,

Hirano³

2007

IEICE Transactions on Fundamentals of Electronics, Communicatio

Self Cite

View full text Add to dashboard Cite

show abstract

A Distortion Free Learning Algorithm for Feedforward BSS and ITS Comparative Study with Feedback BSS

Cited by 1 publication

References 19 publications

A Distortion-Free Learning Algorithm for Feedforward Multi-Channel Blind Source Separation

A Distortion-Free Learning Algorithm for Feedforward Multi-Channel Blind Source Separation

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