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盲信号提取的神经网络方法

On Neural Network Method for Extraction of Blind Signals
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摘要 采用神经网络方法 ,在对于混合矩阵的秩知道一些先验信息的条件下 ,对于检测信号少于盲信号的问题 ,从理论上给出了提取盲信号的充分与必要条件 ,根据这个条件 ,从检测信号中能够提取出某些盲信号 By using neural network method, under the condition of that some information about rank of the mixture matrix is known, we present a condition of extraction. By using the condition, one can extract some blind signals from the observed signals, when the number of observed signals less than the number of blind signals. A theoretical necessary and sufficient condition of extractability is given. The structure of the neural network and the method of extraction are proposed in detail.
出处 《武汉大学学报(理学版)》 CAS CSCD 北大核心 2003年第1期117-120,共4页 Journal of Wuhan University:Natural Science Edition
基金 华南理工大学自然科学基金资助
关键词 神经网络方法 盲信号 信号提取 网络结构 信号处理 信号检测 学习规则 blind signal extraction of signals neural network
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参考文献4

  • 1Amari S, Cichocki A. Adaptive Blind Signal Processing-Neural Network Approaches [J]. Proceedings of the IEEE, 1998,86(10):2026-2048.
  • 2Li Y, Wang J, Zurada J M. Blind Extraction of Singularly Mixed Source Signals [J]. IEEE Trans on Neural Networks, 2000, 11(6):1414-1422.
  • 3Jutten C, Herault J. Blind Separation of Sources, Part I: An Adaptive Algorithm Based on Neuromimetic Architecture [J]. Signal Processing, 1991,24(1):1-10.
  • 4Matsuok K, Ohya M, Kawamoto M. A Neural Net for Blind Separation of Nonstationary Signals [J]. Neural Networks, 1995,8(3): 411-419.

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