A Nonlinear Blind Source Separation Method Based On Radial Basis Function and Quantum Genetic Algorithm

被引：1

作者：

Wang, Pidong ^{[1
,2
]}

Tang, Ruoyun ^{[1
,3
]}

Zhao, Di ^{[1
]}

Li, Hongyi ^{[1
,3
]}

Chen, Jiaxin ^{[4
]}

机构：

[1] Beihang Univ, Sch Math & Syst Sci, LMIB, Beijing 100191, Peoples R China

[2] Beihang Univ, Sch Reliabil & Syst Engn, Beijing 100191, Peoples R China

[3] Beihang Univ, Sch Software Engn, Beijing 100191, Peoples R China

[4] Beihang Univ, Sch Comp Sci & Engn, Beijing 100191, Peoples R China

来源：

INTERNATIONAL SEMINAR ON APPLIED PHYSICS, OPTOELECTRONICS AND PHOTONICS (APOP 2016) | 2016年 / 61卷

关键词：

EMI signal; Non-linear blind source separation; Radial basis function; Quantum genetic algorithm;

D O I：

10.1051/matecconf/20166101014

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：5

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