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 |
Download PDF |
|
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 |
Keyword(8) |
|
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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Speaker |
Author-1 |
Date Time |
2006-04-21 15:30:00 |
Presentation Time |
25 minutes |
Registration for |
SIP |
Paper # |
SIP2006-9, IE2006-9 |
Volume (vol) |
vol.106 |
Number (no) |
no.21(SIP), no.22(IE) |
Page |
pp.49-54 |
#Pages |
6 |
Date of Issue |
2006-04-14 (SIP, IE) |
|