基于人工蜂群算法的FIR数字滤波器设计  

Designing FIR digital filter with artificial bee colony algorithm

作　　者：刘晓丽 兰英[2] 

机构地区：[1]武昌工学院,湖北武汉430065 [2]成都理工大学工程技术学院

出　　处：《计算机时代》2017年第11期5-7,12,共4页Computer Era

基　　金：四川省教育厅科研项目(16ZB0403)

摘　　要：人工蜂群算法是一种基于蜜蜂采蜜行为的新兴群体智能算法,已得到广泛的应用。有限长单位脉冲响应(FIR)数字滤波器的设计已日趋成熟,它的一种典型设计方法是频率采样法,其中的过渡带参数优化是一个值得研究的问题。提出采用人工蜂群算法来选择和优化过渡带插值点参数,利用MATLAB进行仿真,取得了满意的仿真结果。与雷米兹法的比较,证明了算法的可行性和有效性,为FIR滤波器的设计提供了一种新的思路。Artificial bee colony algorithm（ABC） is a new swarm intelligence algorithm based on bee honey collection behavior,which has been widely used. The design of finite impulse response（FIR） digital filter has been maturing and the frequency sampling method is one of the typical design methods, and its transition zone parameter optimization is a problem worthy of study. In this paper, the artificial bee colony algorithm is proposed to select and optimize the interpolation point parameters of the transition zone, by simulating with MATLAB, the satisfied results are obtained. Compared with the Remez method, the feasibility and effectiveness of the algorithm are proved, which provides a new idea for designing the FIR filters.

关 键 词：FIR 数字滤波器 人工蜂群算法(ABC) 频率采样 参数优化 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] TN911.7[自动化与计算机技术—计算机科学与技术]