MATEC Web of Conferences
Volume 61, 2016The International Seminar on Applied Physics, Optoelectronics and Photonics (APOP 2016)
|Number of page(s)||5|
|Section||Chapter 1 Applied Physics|
|Published online||28 June 2016|
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
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.