FIR Digital Filters Based on Cultural Particle Swarm Optimization
Based on the study of cultural algorithms and particle swarm optimization, a new method of FIR digital filters design, called cultural particle swarm optimization (CPSO) is presented in this paper. CPSO is a global convergent algorithm that can find out the global optima of the problem. The algorithm concept and implementing procedure of CPSO are described in detail. The simulation results show that CPSO is better than the original PSO and QPSO with more rapidly convergence speed and better performance of the designed filter.
FIR digital filters filter design cultural algorithms particle swarm optimization
Zhongkai Zhao Hongyuan Gao
College of Information and Communications Engineering, Harbin Engineering University, Harbin 150001, China
国际会议
2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)
青岛
英文
252-255
2009-11-21（万方平台首次上网日期，不代表论文的发表时间）