Presentation | 2005/3/23 Blind Source Deconvolution by Auto-Encoder Takashi NAKABE, Syozo YASUI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Previously, the use of an auto-encoder is shown to be a new method for Blind Source Separation (BSS). This approach which needs no pre-processing and has high adaptability/robustness is extended in this paper to deal with the Blind Source Deconvolution (BSD) problem. The de-mixing filter matrix is determined as a result of the sensor-signal identity mapping due to the auto-encoder so that the blind signals are recovered at nonlinear hidden units. Also, the external mixing filter matrix is reconstructed in the de-coder part as an internal model of the mixing. Furthermore, as in the case of BSS, a pruning algorithm is incorporated to the auto-encoder, to deal with cases where the number of sources is unknown, i.e., many hidden units are made available initially and ones that survive the pruning will be the source separators. Some simulation results are presented to demonstrate the feasibility of the present approach to BSD. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Blind Source Deconvolution / Auto-Encoder / Puruning |
Paper # | NC2004-209 |
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Committee | NC |
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Conference Date | 2005/3/23(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Blind Source Deconvolution by Auto-Encoder |
Sub Title (in English) | |
Keyword(1) | Blind Source Deconvolution |
Keyword(2) | Auto-Encoder |
Keyword(3) | Puruning |
1st Author's Name | Takashi NAKABE |
1st Author's Affiliation | Graduate School of Life Science and System Engineering, Kyushu Institute of Technology() |
2nd Author's Name | Syozo YASUI |
2nd Author's Affiliation | Graduate School of Life Science and System Engineering, Kyushu Institute of Technology |
Date | 2005/3/23 |
Paper # | NC2004-209 |
Volume (vol) | vol.104 |
Number (no) | 760 |
Page | pp.pp.- |
#Pages | 6 |
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