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 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.
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Keyword(in English) ICA / Deterministic Signals / Separation Capability / 4th Cumulant / Complex Sinusoidal Signals
Paper # SANE2006-123
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Committee SANE
Conference Date 2007/1/12(1days)
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Registration To Space, Aeronautical and Navigational Electronics (SANE)
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
Date of Issue