| IIR数字滤波器的粒子群优化设计方法 |
| |
| 引用本文： | 张松华,陆秀令.IIR数字滤波器的粒子群优化设计方法[J].信息与电子工程,2007,5(4):271-274. |
| |
| 作者姓名： | 张松华 陆秀令 |
| |
| 作者单位： | 湖南工学院,电气系,湖南,衡阳,421002 |
| |
| 摘 要： | 探讨了IIR（Infinite Impulse Response）数字滤波器的设计,重点研究了IIR数字滤波器设计的粒子群优化（Particle Swarm Optimization,PSO）算法及算法框图,总结了粒子群优化算法的实现步骤。这一算法的提出,避免了传统算法的缺点,所设计的滤波器达到了理想的性能。通过实验表明,IIR数字滤波器的粒子群优化算法优于遗传算法。
|
| 关 键 词： | 粒子群优化算法 滤波器 |
| 文章编号： | 1672-2892（2007）04-0271-04 |
| 修稿时间： | 2007-03-222007-04-28 |
Particle Swarm Optimization Method for Designing IIR Digital Filter |
| |
| ZHANG Song-hu,LU Xiu-ling.Particle Swarm Optimization Method for Designing IIR Digital Filter[J].information and electronic engineering,2007,5(4):271-274. |
| |
| Authors: | ZHANG Song-hu LU Xiu-ling |
| |
| Affiliation: | Electric Department, Hunan Institute of Technology, Hengyang Hunnan 421002, China |
| |
| Abstract: | The design method of IIR filter is put forward,the PSO algorithm of IIR filter and its algorithm block diagram are primarily studied.The implementation steps of PSO algorithm are summarized.This new method avoids the disadvantage of other traditional techniques and the performance of the designed filter is ideal.Simulation results indicate the design of using PSO algorithm in the IIR Filter is better than using Genetic Algorithm(GA). |
| |
| Keywords: | IIR |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《信息与电子工程》浏览原始摘要信息 |
|
点击此处可从《信息与电子工程》下载全文 |
|
