Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect
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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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2015-09-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015213/ |
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| author | Pubo Huang Yu Wei |
| author_facet | Pubo Huang Yu Wei |
| author_sort | Pubo Huang |
| collection | DOAJ |
| description | 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）, using traversing glowworm swarm twice, comparing evaluation function, the best result was get. Their validity is confirmed by effect of the signal separation test. |
| format | Article |
| id | doaj-art-b7b1fc562df8409ba118ff0d0704f0a1 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2015-09-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-b7b1fc562df8409ba118ff0d0704f0a12025-01-15T03:16:38ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-09-01319710259613649Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle EffectPubo HuangYu WeiAccording 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）, using traversing glowworm swarm twice, comparing evaluation function, the best result was get. Their validity is confirmed by effect of the signal separation test.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015213/nonlinear blind source separationglowworm swarm optimizationbaffle effect |
| spellingShingle | Pubo Huang Yu Wei Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect Dianxin kexue nonlinear blind source separation glowworm swarm optimization baffle effect |
| title | Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect |
| title_full | Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect |
| title_fullStr | Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect |
| title_full_unstemmed | Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect |
| title_short | Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect |
| title_sort | nonlinear blind source separation algorithm using glowworm swarm optimization with baffle effect |
| topic | nonlinear blind source separation glowworm swarm optimization baffle effect |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015213/ |
| work_keys_str_mv | AT pubohuang nonlinearblindsourceseparationalgorithmusingglowwormswarmoptimizationwithbaffleeffect AT yuwei nonlinearblindsourceseparationalgorithmusingglowwormswarmoptimizationwithbaffleeffect |