计算机工程2011，Vol.37Issue(23)：183-185,3.
基于PSO-DE-CA的FIR滤波器设计
Design of FIR Filter Based on PSO-DE-CA
摘要
Abstract
A new cultural algorithm with double populations is proposed for designing Finite Impulse Response(FIR) digital filters. Two populations evolve independently according to Particle Swarm Optimization(PSO) algorithm and Differential Evolution(DE) algorithm respectively. Belief space plays the role of knowledge link in mutual cooperation and promotion between populations. This algorithm provides a new way for the co-evolution technique of multi-population. The computer simulations of FIR filter design indicate that the proposed algorithm is practicable and superior in terms of convergence speed and optimization effect compared with other algorithms.关键词
文化算法/双种群/粒子群优化/差分进化/有限脉冲响应/数字滤波器Key words
Cultural Algorithm(CA)/ double populations/ Particle Swarm Optimization(PSO)/ Differential Evolution(DE)/ Finite Impulse Response(FIR)/ digital filter分类
信息技术与安全科学引用本文复制引用
张旭珍,贾品贵,薛鹏骞..基于PSO-DE-CA的FIR滤波器设计[J].计算机工程,2011,37(23):183-185,3.基金项目
华北科技学院基金资助项目 （）
