Presentation | 2003/11/15 Blind Source Separation by Minimum Nonlinear Distortion Tetsuya MINATOHARA, Tetsuo FURUKAWA, Shozo YASUI, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In the new BSS method presented here, a linear combination of the sensor signals is fed to a nonlinear unit. The weight vector associated with the linear combination is optimized in the sense of minimizing the average nonlinear distortion, i.e., average difference between the input and output of the nonlinear unit. Such optimization made by the steepest descent algorithm is shown to be able to extract the blind signal sources one-by-one if the sources are sub-Gaussian. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Blind Source Separation / Independent Component Analysis / Nonlinear Transformation |
Paper # | NLP2003-122 |
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Committee | NLP |
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Conference Date | 2003/11/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Blind Source Separation by Minimum Nonlinear Distortion |
Sub Title (in English) | |
Keyword(1) | Blind Source Separation |
Keyword(2) | Independent Component Analysis |
Keyword(3) | Nonlinear Transformation |
1st Author's Name | Tetsuya MINATOHARA |
1st Author's Affiliation | Department of Brain science and Sys.Eng.,Grad.School of Life Science and Sys.Eng.,Kyushu Institute of Technology() |
2nd Author's Name | Tetsuo FURUKAWA |
2nd Author's Affiliation | Department of Control Eng.and Science,Faculty of Computer Science and Sys. Eng.,Kyushu Institute of Technology |
3rd Author's Name | Shozo YASUI |
3rd Author's Affiliation | Department of Brain science and Sys.Eng.,Grad.School of Life Science and Sys.Eng.,Kyushu Institute of Technology |
Date | 2003/11/15 |
Paper # | NLP2003-122 |
Volume (vol) | vol.103 |
Number (no) | 464 |
Page | pp.pp.- |
#Pages | 6 |
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