The Influences of the Two Bound Treatments on the Performance of ⅡR Filter Design Based on Particle Swarm Optimization

摘要：

Digital ⅡR filter is an important kind of filter and has been an active area of research for many years. Particle Swarm Optimization (PSO) is a novel random searching optimization algorithm and can reach the global optimization solution. We apply PSO to design digital ⅡR filter and propose a new bound treatment approach.Compared with the origin bound treatment approach, our proposed method in design digital ⅡR filter can get better performance. Experiment results show that the modified algorithm outperforms the origin PSO.

关键词： Particle Swarm Optimization ⅡR filter filter design

作者: Wei Fang Wenbo Xu

作者单位: Institute of Information Technology, Southern Yangtze University Wuxi, Jiangsu, 214122, China

会议类型: 国际会议

会议名称: 2006 International Symposium on Distributed Computing and Applications to Business,Engineering and Science(2006年国际电子、工程及科学领域的分布式计算应用学术研讨会)

会议地点: 杭州

会议语种:英文

页码: 453-455

在线出版日期: 2006-10-12（万方平台首次上网日期，不代表论文的发表时间）