Presentation | 2007-01-19 Separation Capability of Independent Component Analysis for Complex Superimposed Sinusoidal Signals Tetsuo KIRIMOTO, Takeshi AMISHIMA, Atsushi OKAMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | ICA (Independent Component Analysis) has a remarkable capability of separating superimposed signals of independent stochastic signal components. We have a native question that ICA works for the separation of superimposed deterministic signals. In this paper, we analyze basic separation capability of ICA for superimposed sinusoidal signals to show the effectiveness. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | ICA / Deterministic Signals / Separation Capability / 4th Cumulant / Complex Sinusoidal Signals |
Paper # | SANE2006-123 |
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Committee | SANE |
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Conference Date | 2007/1/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Space, Aeronautical and Navigational Electronics (SANE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Separation Capability of Independent Component Analysis for Complex Superimposed Sinusoidal Signals |
Sub Title (in English) | |
Keyword(1) | ICA |
Keyword(2) | Deterministic Signals |
Keyword(3) | Separation Capability |
Keyword(4) | 4th Cumulant |
Keyword(5) | Complex Sinusoidal Signals |
1st Author's Name | Tetsuo KIRIMOTO |
1st Author's Affiliation | The University of Kitakyushu() |
2nd Author's Name | Takeshi AMISHIMA |
2nd Author's Affiliation | Mitsubishi Electric Corporation |
3rd Author's Name | Atsushi OKAMURA |
3rd Author's Affiliation | Mitsubishi Electric Corporation |
Date | 2007-01-19 |
Paper # | SANE2006-123 |
Volume (vol) | vol.106 |
Number (no) | 471 |
Page | pp.pp.- |
#Pages | 6 |
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