Research of nonlinear blind source separation algorithm based on quantum evolutionary neural network

This paper analyzes the neural network model and algorithm of nonlinear blind source separation (NBSS) systematically, discusses the existence and uniqueness of solution of NBSS, puts forward a novel NBSS algorithm based on mutual cumulates, and uses multi-universe parallel quantum genetic algorithm (MPQGA) to acquire its optimum solution. The simulation result demonstrates the effectiveness of the algorithm.

[1]  Gilles Burel,et al.  Blind separation of sources: A nonlinear neural algorithm , 1992, Neural Networks.

[2]  Aapo Hyvärinen,et al.  Nonlinear independent component analysis: Existence and uniqueness results , 1999, Neural Networks.

[3]  Christian Jutten,et al.  Space or time adaptive signal processing by neural network models , 1987 .

[4]  HyvärinenAapo,et al.  Nonlinear independent component analysis , 1999 .

[5]  Shi Liang,et al.  Multi-Universe Parallel Quantum Genetic Algorithm , 2004 .

[6]  Jong-Hwan Kim,et al.  Genetic quantum algorithm and its application to combinatorial optimization problem , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

[7]  Zhuang Zhen-quan,et al.  Research of Quantum Genetic Algorith and its application in blind source separation , 2003 .

[8]  Bin Li,et al.  Genetic Algorithm Based-On the Quantum Probability Representation , 2002, IDEAL.

[9]  Liang Tao,et al.  Research and realization of image separation method based on independent component analysis and genetic algorithm , 2002, Other Conferences.

[10]  Jacek M. Zurada,et al.  Nonlinear Blind Source Separation Using a Radial Basis Function Network , 2001 .

[11]  A. Hyvärinen,et al.  Nonlinear Blind Source Separation by Self-Organizing Maps , 1996 .

[12]  Te-Won Lee,et al.  Blind source separation of nonlinear mixing models , 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.

[13]  Andrzej Cichocki,et al.  Information-theoretic approach to blind separation of sources in non-linear mixture , 1998, Signal Process..