Single channel blind source separation of deterministic sinusoidal signals with independent component analysis
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概要
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It has been previously proved that multi-channel blind source separation (BSS) can separate the deterministic sinusoidal signals by using independent component analysis (ICA) technique. In this paper, we derive a single channel BSS method for deterministic sinusoidal signals with ICA. The proposed single channel BSS method achieves separation by utilizing additional filters to virtually provide a mixture matrix for BSS. Simulation results showed the effectiveness of the proposed method.
著者
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Kawamura Arata
Graduate School Of Engineering Science Osaka University
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Iiguni Youji
Graduate School Of Engineering Science Osaka University
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Nada Eichiro
Graduate School of Science Engineering, Osaka University
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Kawamura Arata
Graduate School of Science Engineering, Osaka University
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Iiguni Youji
Graduate School of Science Engineering, Osaka University
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