Presentation 2003/9/2
Effective Construction of Minimum l_1-Norm Sequences on Underdetermined Signal Recovery
Ichigaku TAKIGAWA, Jun TOYAMA, Mineichi KUDO,
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Abstract(in English) On the problem like underdetermind signal separation of speech signal mixtures, that is, separation of more sources than mixtures, we need to find a unique and practically useful solution after the linear system is identified. For this problem, the minimum l_1-norm solutions at each data point have been used in the previous studies, and a linear programming have been used usually to solve each subproblem. For large scale data like speech signals, we propose the method which can construct such minimum l_1-norm sequence effectivelly.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Source Separation / Underdetermined System / Minimum l_1-Norm Solutions
Paper # PRMU2003-114
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Conference Information
Committee PRMU
Conference Date 2003/9/2(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Effective Construction of Minimum l_1-Norm Sequences on Underdetermined Signal Recovery
Sub Title (in English)
Keyword(1) Source Separation
Keyword(2) Underdetermined System
Keyword(3) Minimum l_1-Norm Solutions
1st Author's Name Ichigaku TAKIGAWA
1st Author's Affiliation Graduate School of Engineering, Hokkaido University()
2nd Author's Name Jun TOYAMA
2nd Author's Affiliation Graduate School of Engineering, Hokkaido University
3rd Author's Name Mineichi KUDO
3rd Author's Affiliation Graduate School of Engineering, Hokkaido University
Date 2003/9/2
Paper # PRMU2003-114
Volume (vol) vol.103
Number (no) 296
Page pp.pp.-
#Pages 6
Date of Issue