| 粒子群优化算法在FIR数字滤波器设计中的应用 |
| |
| 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. DOI: 10.3778/j.issn.1002-8331.2008.33.026 |
| |
| 作者姓名： | 周飞红 刘辉 廖子贞 |
| |
| 作者单位： | 湖南师范大学,物理与信息科学学院,长沙,410081;湖南涉外经济学院,实验中心,长沙,410205;湖南师范大学,物理与信息科学学院,长沙,410081;长沙理工大学,计算机与通信工程学院,长沙,410077 |
| |
| 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。
|
| 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 |
FIR digital filter design and its application based on Particle Swarm Optimization algorithm |
| |
| 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. DOI: 10.3778/j.issn.1002-8331.2008.33.026 |
| |
| Authors: | ZHOU Fei-hong LIU Hui LIAO Zi-zhen |
| |
| 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 |
| |
| 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. |
| |
| Keywords: | Particle Swarm Optimization Algorithm FIR filters Parks-McClellan algorithm |
| 本文献已被 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程与应用》浏览原始摘要信息 |
|
点击此处可从《计算机工程与应用》下载免费的PDF全文 |
