Presentation 2005-10-20
A Learning Algorithm Reducing Signal Distortion for Frequency Domain Feedforward Blind Source Separation
Yasuhiro DEJIMA, Akihide HORITA, Kenji NAKAYAMA, Akihiro HIRANO,
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Abstract(in English) In the blind source separation (BSS), a separation block is trained so as to make its output signals to be statistically independent. Since the frequency domain BSS has some degree of freedom, the wave form and frequency response of the separated signals may be changed from the originals, resulting in signal distortion. In this paper, a learning algorithm, suppressing the signal distortion, for the feedforward BSS, implemented in the frequency domain, is proposed. A condition on both complete separation and signal distortion free has been proposed. This condition is included in the learning process as constraint. Usefulness of the proposed learning algorithm is analyzed by using several kinds of the signal sources.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Blind source separation / Frequency domain / Signal distortion / Feedforward / Learning
Paper # SIP2005-102,ICD2005-121,IE2005-66
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Conference Date 2005/10/13(1days)
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Registration To Integrated Circuits and Devices (ICD)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Learning Algorithm Reducing Signal Distortion for Frequency Domain Feedforward Blind Source Separation
Sub Title (in English)
Keyword(1) Blind source separation
Keyword(2) Frequency domain
Keyword(3) Signal distortion
Keyword(4) Feedforward
Keyword(5) Learning
1st Author's Name Yasuhiro DEJIMA
1st Author's Affiliation Graduate School of Natural Science and Technology, Kanazawa Univ.()
2nd Author's Name Akihide HORITA
2nd Author's Affiliation Graduate School of Natural Science and Technology, Kanazawa Univ.
3rd Author's Name Kenji NAKAYAMA
3rd Author's Affiliation Graduate School of Natural Science and Technology, Kanazawa Univ.
4th Author's Name Akihiro HIRANO
4th Author's Affiliation Graduate School of Natural Science and Technology, Kanazawa Univ.
Date 2005-10-20
Paper # SIP2005-102,ICD2005-121,IE2005-66
Volume (vol) vol.105
Number (no) 351
Page pp.pp.-
#Pages 6
Date of Issue