A Blind Source Separation Algorithm Based on Dynamic Niching Particle Swarm Optimization

A Blind Source Separation Algorithm Based on Dynamic Niching Particle Swarm Optimization

In this paper, the dynamic niching particle swarm optimization (DNPSO) is proposed to solve linear blind source separation problem. The key point is to use the DNPSO rather than particle swarm optimization (PSO) and fast-ICA as the optimization algorithm in Independent Component Analysis (ICA). By u...

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Main Authors: Li Hongjie, Li Zhen, Li Hongyi
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20166103008
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spelling doaj-d121e48bcb2f43b09e53755c52d0cb742021-03-02T09:37:07ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01610300810.1051/matecconf/20166103008matecconf_apop2016_03008A Blind Source Separation Algorithm Based on Dynamic Niching Particle Swarm OptimizationLi Hongjie0Li ZhenLi HongyiLMIB, School of Mathematics and Systems Science, Beihang UniversityIn this paper, the dynamic niching particle swarm optimization (DNPSO) is proposed to solve linear blind source separation problem. The key point is to use the DNPSO rather than particle swarm optimization (PSO) and fast-ICA as the optimization algorithm in Independent Component Analysis (ICA). By using DNPSO, which has global superiority, the performance of ICA will be improved in accuracy and convergence rate. The idea of sub-population in DNPSO leads to the greater efficiency compared with other methods when solving high dimensional cost functions in ICA. The performance of ICA based on DNPSO is investigated by numerical experiments.http://dx.doi.org/10.1051/matecconf/20166103008
collection DOAJ
language English
format Article
sources DOAJ
author Li Hongjie
Li Zhen
Li Hongyi
spellingShingle Li Hongjie
Li Zhen
Li Hongyi
A Blind Source Separation Algorithm Based on Dynamic Niching Particle Swarm Optimization
MATEC Web of Conferences
author_facet Li Hongjie
Li Zhen
Li Hongyi
author_sort Li Hongjie
title A Blind Source Separation Algorithm Based on Dynamic Niching Particle Swarm Optimization
title_short A Blind Source Separation Algorithm Based on Dynamic Niching Particle Swarm Optimization
title_full A Blind Source Separation Algorithm Based on Dynamic Niching Particle Swarm Optimization
title_fullStr A Blind Source Separation Algorithm Based on Dynamic Niching Particle Swarm Optimization
title_full_unstemmed A Blind Source Separation Algorithm Based on Dynamic Niching Particle Swarm Optimization
title_sort blind source separation algorithm based on dynamic niching particle swarm optimization
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2016-01-01
description In this paper, the dynamic niching particle swarm optimization (DNPSO) is proposed to solve linear blind source separation problem. The key point is to use the DNPSO rather than particle swarm optimization (PSO) and fast-ICA as the optimization algorithm in Independent Component Analysis (ICA). By using DNPSO, which has global superiority, the performance of ICA will be improved in accuracy and convergence rate. The idea of sub-population in DNPSO leads to the greater efficiency compared with other methods when solving high dimensional cost functions in ICA. The performance of ICA based on DNPSO is investigated by numerical experiments.
url http://dx.doi.org/10.1051/matecconf/20166103008
work_keys_str_mv AT lihongjie ablindsourceseparationalgorithmbasedondynamicnichingparticleswarmoptimization
AT lizhen ablindsourceseparationalgorithmbasedondynamicnichingparticleswarmoptimization
AT lihongyi ablindsourceseparationalgorithmbasedondynamicnichingparticleswarmoptimization
AT lihongjie blindsourceseparationalgorithmbasedondynamicnichingparticleswarmoptimization
AT lizhen blindsourceseparationalgorithmbasedondynamicnichingparticleswarmoptimization
AT lihongyi blindsourceseparationalgorithmbasedondynamicnichingparticleswarmoptimization
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