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一种新的盲声源分离方法及应用 被引量:3

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摘要 介绍了盲源分离的原理及几种常用的基于独立分量分析的盲源分离方法.瞬时混合声信号可看作是对声源信号的线性变换,因此通过线性反变换能够实现对声源信号的估计.基于这一思路,提出了一种适用于瞬时混合信号的盲源分离新方法.该方法采用了线性变换原理,通过对信号高斯性的检测来求解最佳变换角度,并依此构造分离矩阵实现源信号的分离.给出了该方法的实现步骤,还将该方法用于混合语音声音信号的分离,以及实际电机和轴承混合声音信号的分离.应用结果表明,提出的方法有良好的声源信号分离效果.
出处 《四川兵工学报》 CAS 2010年第1期136-139,共4页 Journal of Sichuan Ordnance
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参考文献6

  • 1Comon P. Independent component analysis [ J ]. a new Concept, Signal Processing, 1994,36:287 - 314.
  • 2A J Bell , T J Sejnowski. An information-maximization approach to blind separation and blind separation and blind deconvolution[ J ]. Neural Computation, 1995 ( 7 ) : 1129 - 1159.
  • 3T W Lee, M Girolami, T J Sejnowski. Independent component analysis using an extended infmax algorithm for mixed sub-gaussian and super-gaussian sources [ J ]. Neural Computation, 1999,11 (2) :417 - 441.
  • 4Giannakis G, Inouye Y, Mendel J M. Cumulant based identification of muhichannel moving average models [ J ]. IEEE Automat Control, 1989,34:783 - 787.
  • 5Cardoso J F. Sources separation using higher order moments [ C ]//Proceedings of international conference on acoustic. Glasgow :speech and signal processing, 1989: 2109 -2112.
  • 6Aapo Hyvarinen, Erkki Oja. Independent Component Analysis : Algorithms and Applications [ J ]. Neural Networks ,2000,13:411 - 430.

同被引文献25

  • 1Barros A K,Cichocki A. Extraction of specific signals withtemporal structure[ J]. Neural Comput,2001,13 (9) ; 1995.
  • 2Cichocki A,Thawonmas R,Amari S. Sequential blind signalextraction in order specified by stochastic properties[ J]. E-lectron. Lett,1997,33(1) :64 -65.
  • 3Zhi-Lin Zhang, Zhang Yi. Extraction of a source signalwhose kurtosis value lies in a specific rang[ J]. Nerocom-puting Letters,2006(69) :900 - 904.
  • 4Haykin S. The cocktail party phenomenon[ Z]. Presentationat the IC A Workshop, Berlin, Germany,2003.
  • 5Cichocki A,Amari S. Adaptive Blind Signal and Image Pro-cessing[M]. New York:Wiley ,2002.
  • 6Cichocki A,Amari S. Adaptive Blind Signal and Image Pro-cessing [M]. England: John Wiley & Sons Ltd,2002.
  • 7Barros A K,Cichocki A. Extraction of specific signals withtemporal structure[ J]. Neural Comput,2001,13 (9): 1995-2003.
  • 8Hyvarinen A. Complexity pursuit: separating interestingcomponents from time-series [ J ]. Neural Computation,2001,13(4) :883 -898.
  • 9Shi Z, Tang H, Tang Y. A fast fixed-point algorithm forcomplexity pursuit [ J ] . Neurocomputing, 2005 ( 64 ) : 529-536.
  • 10Hyvarinen A. Gaussian moments for noisy independent com-ponent analysis [ J ]. IEEE Signal Process Lett, 1999,10(3):626-634.

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