| タイトル |
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A blind source separation cascading separation and linearization for low-order nonlinear mixtures
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| 作成者 |
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| 内容注記 |
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Abstract
A network structure and its learning algorithm have been proposed for blind source separation applied to nonlinear mixtures. Nonlinearity is expressed by low-order polynomials, which are acceptable in many practical applications. A separation block and a linearization block are cascaded. In the separation block, the cross terms are suppressed, and the signal sources are separated in each group, which include its high-order components. The high-order components are further suppressed through the linearization block. A learning algorithm minimizing the mutual information is applied to the separation block. A new learning algorithm is proposed for the linearization block. Simulation results, using 2-channel speech signals, instantaneous mixtures, and 2nd-order post nonlinear functions, show good separation performance.
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| 出版者 |
IEEE(Institute of Electrical and Electronics Engineers)
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| 日付 |
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| 言語 |
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| 資源タイプ |
conference paper |
| 出版タイプ |
VoR |
| 資源識別子 |
HDL
http://hdl.handle.net/2297/6857
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URI
https://kanazawa-u.repo.nii.ac.jp/records/7731
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| 収録誌情報 |
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ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
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巻5
開始ページV_569
終了ページV_572
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| ファイル |
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| コンテンツ更新日時 |
2024-09-25 |