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 Japanese) | (See Japanese page) |
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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Committee | PRMU |
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Conference Date | 2003/9/2(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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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 |
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