Fast-Convergence Algorithm for Blind Source Separation Based on Array Signal Processing
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概要
- 論文の詳細を見る
We propose a now algorithm for blind source separation (BSS), in which independent component analysis (ICA) and bram forming arc combined to resolve the lowconvergence problem through optimization in ICA. The proposed method consists of the following two parts: frequency-domain ICA with direction-of-arrival (DOA) estimation, and null beamforming based on the estimated DOA. The alternation of learning between ICA and beamforming can realize fast- and high-convergence optimization. The results of the signal separation experiments reveal that the signal separation performance of the proposed algorithm is superior to that of the conventional ICA-based BSS method.
- 社団法人電子情報通信学会の論文
- 2003-03-01
著者
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SARUWATARI Hiroshi
Nara Institute of Science and Technology
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Shikano Kiyohiro
Graduate School Of Information Science Nara Institute Of Science And Technology
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Saruwatari Hiroshi
Graduate School Of Information Science Nara Institute Of Science And Technology
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Shikano K
Chiba University And National Institute Of Information And Communications Technology
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Sawada H
Graduate School Of Information Science Nara Institute Of Science And Technology
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NISHIKAWA Tsuyoki
Graduate School of Information Science, Nara Institute of Science and Technology
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Kawamura Toshiya
Graduate School Of Information Science Nara Institute Of Science And Technology
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Nishikawa Tsuyoki
Graduate School Of Information Science Nara Institute Of Science And Technology
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