Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect

Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect

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According to the characteristics of glowworm swarm optimization（GSO）algorithm, to overcome the disadvantages of premature convergence, a new method called “baffle effect”was proposed. The diversity of swarm was expanded. Based on the analysis of the model of nonlinear blind source separation（NBSS）,...

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Bibliographic Details
Main Authors: Pubo Huang, Yu Wei
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2015-09-01
Series:Dianxin kexue
Subjects:
nonlinear blind source separation
glowworm swarm optimization
baffle effect
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015213/

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http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015213/

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