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基于多宇宙并行量子遗传算法的非线性盲源分离算法研究

杨俊安 邹谊 庄镇泉

杨俊安, 邹谊, 庄镇泉. 基于多宇宙并行量子遗传算法的非线性盲源分离算法研究[J]. 电子与信息学报, 2004, 26(8): 1210-1217.
引用本文: 杨俊安, 邹谊, 庄镇泉. 基于多宇宙并行量子遗传算法的非线性盲源分离算法研究[J]. 电子与信息学报, 2004, 26(8): 1210-1217.
Yang Jun-an, Zou Yi, Zhuang Zhen-quan. Nonlinear Blind Source Separation Algorithm Using Multi-universe Parallel Quantum Genetic Algorithm[J]. Journal of Electronics & Information Technology, 2004, 26(8): 1210-1217.
Citation: Yang Jun-an, Zou Yi, Zhuang Zhen-quan. Nonlinear Blind Source Separation Algorithm Using Multi-universe Parallel Quantum Genetic Algorithm[J]. Journal of Electronics & Information Technology, 2004, 26(8): 1210-1217.

基于多宇宙并行量子遗传算法的非线性盲源分离算法研究

Nonlinear Blind Source Separation Algorithm Using Multi-universe Parallel Quantum Genetic Algorithm

  • 摘要: 在系统分析非线性盲源分离模型和算法的基础上,提出了基于输出信号联合累积量的非线性盲 源分离算法,并提出采用多宇宙并行量子遗传算法的优化求解方法,仿真结果表明了算法的有效性。
  • Herault J.Jutten C.Space or time adaptive signal processing by neural network models.Neural networks for computing:AIP conference proceedings 151,Snowbird,UT,1986:206-211.[2]Burel G.Blind separation of sources:A nonlinear neural algorithm[J].Neural Network.1992,5(6):937-947[3]Tan Y,Wang J,Zurada J M.Nonlinear blind source separation using a radial basis function network.IEEE.Trans.Neural Networks,2001,12(1):134-144.[4]Yang H.H,Amari S,Cichochi A.Information-theoretic approach to blind separation of sources in non-linear mixture.Signal Processing,1998,64(3):291-300.[5]Lee T.W,Koehler B.U.Blind source separation of nonlinear mixing models.In IEEE Proc.for Neural Network Signal Processing Ⅶ.Florida,IEEE Press,1997:406-415.[6]Pajunen P,Hyvarinen A,Karhunen J.Nonlinear blind source separation by self-organizing maps.In Progress in Neural Information Processing:Proceedings of the International Conference on Neural Information Processing.New York:Springer-Verlag,1996,2:1207-1210.[7]Yang Jun-an,Zhuang Zhenquan.Research of quantum genetic algorithm and its application in blind source separation.Journal of Electronics(China),2003,20(1):62-68.[8]杨俊安,庄镇泉.多宇宙并行量子遗传算法.电子学报,2004,32(6):923-928.[9]Hyvarinen A,Pajunen P.Nonlinear independent component analysis:Existence and uniqueness results[J].Neural Network.1999,12(3):429-439[10]Yang J A.Research realization of image separation method based on independent component analysis genetic algorithm.International Congress on Image and Graph 2002(IGIG2002),Hefei,China,SPIE Press,2002:575-582.[11]徐利治主编.现代数学手册(随机数学卷).武汉:华中科技大学出版社,1999:28.[12]邹谋炎.反卷积和信号复原.北京:国防工业出版社,2000:46-53.
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出版历程
  • 收稿日期:  2003-01-17
  • 修回日期:  2003-10-15
  • 刊出日期:  2004-08-19

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