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タイトル
  • A blind source separation cascading separation and linearization for low-order nonlinear mixtures
作成者
    • Nishiwaki, Takayuki
    • Hirano, Akihiro
内容注記
  • 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.
出版者 IEEE(Institute of Electrical and Electronics Engineers)
日付
    Issued2004-05-01
言語
  • eng
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 , URI https://kanazawa-u.repo.nii.ac.jp/records/7731
収録誌情報
    • ISSN 0736-7791
      • ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
      • 5 開始ページV_569 終了ページV_572
ファイル
コンテンツ更新日時 2024-09-25