| 粒子群优化算法在FIR数字滤波器设计中的应用 |
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| 引用本文： | 周飞红,刘辉,廖子贞.粒子群优化算法在FIR数字滤波器设计中的应用[J].计算机工程与应用,2008,44(33):83-85. |
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| 作者姓名： | 周飞红 刘辉 廖子贞 |
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| 作者单位： | 1.湖南师范大学 物理与信息科学学院，长沙 410081 2.湖南涉外经济学院 实验中心，长沙 410205 3.长沙理工大学 计算机与通信工程学院，长沙 410077 |
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| 摘 要： | 介绍了基于粒子群优化算法的FIR数字滤波器的设计方法，并用该方法设计了一个高通滤波器。与用Parks-McClellan算法设计的高通滤波器进行了对比，发现基于粒子群优化算法的FIR滤波器的通带波动更小，阻带衰减更大。将用这两种算法设计的滤波器作用于混频信号，得出的结果也证明了基于粒子群优化算法的FIR滤波器的有效性。
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| 关 键 词： | 粒子群优化算法 FIR滤波器 Parks-McClellan算法 |
| 收稿时间： | 2007-12-13 |
| 修稿时间： | 2008-3-18
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FIR digital filter design and its application based on Particle Swarm Optimization algorithm |
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| ZHOU Fei-hong,LIU Hui,LIAO Zi-zhen.FIR digital filter design and its application based on Particle Swarm Optimization algorithm[J].Computer Engineering and Applications,2008,44(33):83-85. |
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| Authors: | ZHOU Fei-hong LIU Hui LIAO Zi-zhen |
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| Affiliation: | 1.College of Physics and Information Science，Hunan Normal University，Changsha 410081，China 2.Laboratory Center of Hunan International Economics University，Changsha 410205，China 3.Computer and Communication Engineering College，Changsha University of Science & Technology，Changsha 410077，China |
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| Abstract: | In this paper,the design of FIR filters based on Particle Swarm Optimization algorithm are introduced,and a highpass filter has been designed by this method.Comparing with the Parks-McClellan algorithm,the FIR digital filter designed by PSO algorithm has smaller pass-band ripple and bigger stop-band attenuation.The effectiveness and superiority of the introduced method are demonstrated by the experimental results on the mixed-signal which is filtered by these two filters designed by these two algorithm. |
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| Keywords: | Particle Swarm Optimization Algorithm FIR filters Parks-McClellan algorithm |
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