| 基于模拟退火思想和粒子群算法的盲源分离 |
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| 引用本文： | 张文爱,李喜林.基于模拟退火思想和粒子群算法的盲源分离[J].科学技术与工程,2007,7(13):3255-3258. |
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| 作者姓名： | 张文爱 李喜林 |
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| 作者单位： | 太原理工大学信息工程学院,太原,030024 |
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| 摘 要： | 简要介绍了基于模拟退火思想的粒子群算法的基本原理，并将之应用于盲源分离算法中，以解决基本粒子群算法收敛速度缓慢的问题。用MATLAB仿真表明，基于该改进算法的盲源分离效果良好，具有收敛速度快、性能稳定等特点。
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| 关 键 词： | 盲源分离 粒子群 模拟退火 群集智能 |
| 修稿时间： | 2007-03-07 |
Bland Source Separation Based on Simulate Anneal and Particle Swarm Optimization |
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| ZHANG Wen-ai,LI Xi-lin.Bland Source Separation Based on Simulate Anneal and Particle Swarm Optimization[J].Science Technology and Engineering,2007,7(13):3255-3258. |
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| Authors: | ZHANG Wen-ai LI Xi-lin |
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| Institution: | Department of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, P. R. China |
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| Abstract: | The basic principal of particle swarm optimization based on simulate anneal was introduced and was applied to blind source separation to solve the problem of low searching speed. The simulation with Matlab shows that the effect of separation is very well, the blind source separation has not only the character of fast convergence speed but of stable performance. |
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| Keywords: | blind source separation particle swarm simulate anneal intelligence optimization |
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