A Nonlinear Blind Source Separation Method Based On Radial Basis Function and Quantum Genetic Algorithm
1 LMIB, School of Mathematics and Systems Science, Beihang University, Beijing 100191, China
2 School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
3 School of Software Engineering, Beihang University, Beijing 100191, China
4 School of Computer Science and Engineering, Beihang University, Beijing 100191, China
a Corresponding author (E-mail: Hongyili_buaa@163.com)
Blind source separation is a hot topic in signal processing. Most existing works focus on dealing with linear combined signals, while in practice we always encounter with nonlinear mixed signals. To address the problem of nonlinear source separation, in this paper we propose a novel algorithm using radial basis function neutral network, optimized by multi-universe parallel quantum genetic algorithm. Experiments show the efficiency of the proposed method.
Key words: EMI signal / Non-linear blind source separation / Radial basis function / Quantum genetic algorithm
© Owned by the authors, published by EDP Sciences, 2016
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