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Paper Abstract and Keywords
Presentation 2006-04-21 15:30
A Feedback Approach and Its Learning Algorithm for Overcomplete Blind Source Separation
Haruo Katou, Kenji Nakayama, Akihiro Hirano (Kanazawa Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) A feedback structure and its learning algorithm are proposed for overcomplete blind source separation, where the number of sources is larger than that of sensors. In the first phase, the signal sources are
separated so as to satisfy the condition, under which one signal source
is not included in different outputs. By setting the number of the
sensors to be more than a half of the sources, at least one output
includes a single source. This output is selected based on property of
a single source. Furthermore, this output is fed back and cancelled
from observed signals. The selected single source, information about a
mixing process and histogram of the observations and the separated
source are used for this cancellation. In the second phase, the same
process is carried out by using the modified observations, in which the
source, separated in the first phase, is cancelled. Like this, in the
proposed method, the source separation is repeated by reducing the
number of equivalent sources. Simulations using speech signals demonstrate usefulness of the proposed method compared to the conventional methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Signal source separation / Overcomplete, / Feedback / Speech signal / Learning algorithm / Fundamental period, / Histogram /  
Reference Info. IEICE Tech. Rep., vol. 106, no. 21, SIP2006-9, pp. 49-54, April 2006.
Paper # SIP2006-9 
Date of Issue 2006-04-14 (SIP, IE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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Conference Information
Committee IE SIP  
Conference Date 2006-04-21 - 2006-04-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIP 
Conference Code 2006-04-IE-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Feedback Approach and Its Learning Algorithm for Overcomplete Blind Source Separation 
Sub Title (in English)  
Keyword(1) Signal source separation  
Keyword(2) Overcomplete,  
Keyword(3) Feedback  
Keyword(4) Speech signal  
Keyword(5) Learning algorithm  
Keyword(6) Fundamental period,  
Keyword(7) Histogram  
1st Author's Name Haruo Katou  
1st Author's Affiliation Kanazawa University (Kanazawa Univ.)
2nd Author's Name Kenji Nakayama  
2nd Author's Affiliation Kanazawa University (Kanazawa Univ.)
3rd Author's Name Akihiro Hirano  
3rd Author's Affiliation Kanazawa University (Kanazawa Univ.)
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Date Time 2006-04-21 15:30:00 
Presentation Time 25 
Registration for SIP 
Paper # IEICE-SIP2006-9,IEICE-IE2006-9 
Volume (vol) IEICE-106 
Number (no) no.21(SIP), no.22(IE) 
Page pp.49-54 
#Pages IEICE-6 
Date of Issue IEICE-SIP-2006-04-14,IEICE-IE-2006-04-14 

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