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信号盲分离的非线性累加和算法 被引量:5

Nonlinear cumulants based blind signal separation algorithm
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摘要 就一种基于非线性累加和的信号盲分离方法作了探讨。首先,文中针对方法中非线性函数特性对信号分离的影响从理论上作了分析,给出了加快迭代收敛的约束条件。接着,将该方法从无卷积混合信号分离的情况推广到混合卷积情形。最后通过数值模拟,给出了信号分离结果。 A nonlinear cumu1ants based blind signal separation method is considered. First, theoretical ana1ysis of thenonlinear function used in the separation method is presented. And constrained condition that is important to speedup the convergence is addressed. Then, the method is extended to the convolved signals. Finally, separated results aregiven by numerical simulation.
作者 周毅 徐柏龄
出处 《声学学报》 EI CSCD 北大核心 2002年第3期241-249,共9页 Acta Acustica
基金 国家自然科学基金资助项目(69872014)
关键词 信号盲分离 非线性累加和 算法 数值模拟 信号处理 语音信号 Blind source separation Computer simulation Convergence of numerical methods Nonlinear equations
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参考文献7

  • 1Jutten C,Herault J.Blind separation of sources,Part I:an adaptive algorithm based on neuromophic archtecture[].Signal Processing.1991
  • 2Delfosse N,Loubaton P.Adaptive blind separation of in-dependent sources:A deflection approach[].Signal Processing.1995
  • 3Jonathan Huang,Kuan-Chieh Yen,Yunxin Zhao.Subband-based adaptive decorrelation filtering for co-channel speech separation[].IEEE Transactions on Speech and Audio Processing.2000
  • 4Jitendra K.Tugnait.Adaptive blind separation of con-volutive mixtures of independent linear signals[].Signal Processing.1999
  • 5Bin-Chul Ihm,Dong-Jo Park.Blind separation of sourceusing higher-order cumulants[].Signal Processing.1999
  • 6Mitsuru Kawamoto,Kiyotoshi Matsuoka,Noboru Ohnishi.A method of blind separation for convolved non-stationary signals[].Neurocomputing.1998
  • 7Lacoume J L,Ruiz P.Separation of independent sourcesfrom correlated inputs[].IEEE Transactions on Signal Processing.1992

同被引文献55

  • 1卓颉,孙超.多级恒模阵对目标方位估计性能的实验研究[J].声学学报,2004,29(6):551-556. 被引量:3
  • 2Cao Y, Sridha Sridaharan et al. Co-talker separation using the "cocktail party effect". J Audio Eng Soc, 1996;44(12): 1084-1096.
  • 3Gerven S Vet al. Signal separation by symmetric adaptive decorrelation: stability, convergence, and uniqueness.IEEE Trans Signal Processing, 1995; 48(7): 1602-1611.
  • 4Yen K C, Zhao Yet al. Adaptive co-channel speech separation and recognition. IEEE Trans. Speech and Audio Processing, 1999; 7(2): 138-151.
  • 5Huang J, Yen K C. Subband-based adaptive decorrelation filtering for co-channel speech separation. IEEE Trans Speech and Audio Processing, 2000; 8(4): 402-406.
  • 6Richard L. Zinser. Some experimental and theoretical results using a new adaptive filter structure for noise cancellation in the presence of crosstalk. In: Proc Int Conf Acoust Speech Signal Processing, 1985; 2:208-211.
  • 7Mirchandani G, Zinser R L. A new adaptive noise cancellation scheme in the presence of crosstalk. IEEE Trans on Circuits and System-H: Analog and Digital Signal Processing, 1992; 39(10): 681-694.
  • 8Kuo S M, Peng W M. Principle and applications of asymmetric crosstalk-resistant adaptive noise canceller. Journal of the Franklin Institute, 2000; 337:57-71.
  • 9Chen R Y. On the optimum step size for adaptive sign and lms algorithms. IEEE Trans. Circuits and Systems, 1990;CAS-37(6): 836-840.
  • 10Wang H, Kaveh M. Coherent signal-subspace processing for the detection and estimation of angles of arrival of multiple wide-band sources. IEEE Transactions on Acoustics,Speech, and Signal processing, 1985; ASSP-33(4): 823-831.

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