• Title/Summary/Keyword: FIR polynomial algebra

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Blind Signal Separation Using Eigenvectors as Initial Weights in Delayed Mixtures (지연혼합에서의 초기 값으로 고유벡터를 이용하는 암묵신호분리)

  • Park, Jang-Sik;Son, Kyung-Sik;Park, Keun-Soo
    • The Journal of the Acoustical Society of Korea
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    • v.25 no.1
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    • pp.14-20
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    • 2006
  • In this paper. a novel technique to set up the initial weights in BSS of delayed mixtures is proposed. After analyzing Eigendecomposition for the correlation matrix of mixing data. the initial weights are set from the Eigenvectors ith delay information. The Proposed setting of initial weighting method for conventional FDICA technique improved the separation Performance. The computer simulation shows that the Proposed method achieves the improved SIR and faster convergence speed of learning curve.