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基于多宇宙并行量子遺傳算法的非線性盲源分離算法研究

楊俊安 鄒誼 莊鎮(zhèn)泉

楊俊安, 鄒誼, 莊鎮(zhèn)泉. 基于多宇宙并行量子遺傳算法的非線性盲源分離算法研究[J]. 電子與信息學(xué)報(bào), 2004, 26(8): 1210-1217.
引用本文: 楊俊安, 鄒誼, 莊鎮(zhèn)泉. 基于多宇宙并行量子遺傳算法的非線性盲源分離算法研究[J]. 電子與信息學(xué)報(bào), 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遺傳算法的非線性盲源分離算法研究

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

  • 摘要: 在系統(tǒng)分析非線性盲源分離模型和算法的基礎(chǔ)上,提出了基于輸出信號(hào)聯(lián)合累積量的非線性盲 源分離算法,并提出采用多宇宙并行量子遺傳算法的優(yōu)化求解方法,仿真結(jié)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]楊俊安,莊鎮(zhèn)泉.多宇宙并行量子遺傳算法.電子學(xué)報(bào),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]徐利治主編.現(xiàn)代數(shù)學(xué)手冊(cè)(隨機(jī)數(shù)學(xué)卷).武漢:華中科技大學(xué)出版社,1999:28.[12]鄒謀炎.反卷積和信號(hào)復(fù)原.北京:國防工業(yè)出版社,2000:46-53.
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出版歷程
  • 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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