计算机工程与应用2017，Vol.53Issue(17)：108-111,172,5.DOI:10.3778/j.issn.1002-8331.1603-0399
采用改进遗传算法优化FIR数字滤波器设计
Research on design of FIR filter based on improved genetic algorithm
孙田雨 1史峥1
作者信息
- 1. 浙江大学 电气工程学院,杭州 310027
- 折叠
摘要
Abstract
The optimal design of finite impulse response filter can be abstracted into a problem of calculating the extremum of multidimensional continuous function, so it can be solved by genetic algorithm. Because the traditional genetic algo-rithm is easy to fall into local solution, it proposes a new strategy to improve the algorithm in the probability and operator of crossover and mutation, and it proves to be feasible by trial function. Under the Least Squares(LS), Minimax(MM) and Minimum Mean Square Error(MMSE)criteria, it realizes the optimized design of digital FIR low pass filters based on the improved genetic algorithm. The experimental results show that the filters designed under different optimality criteria have good performance, and the versatility and effectiveness of the improved genetic algorithm are proved as well.关键词
数字滤波器/改进遗传算法/交叉变异/优化设计Key words
digital filter/improved genetic algorithm/crossover and mutation/optimized design分类
信息技术与安全科学引用本文复制引用
孙田雨,史峥..采用改进遗传算法优化FIR数字滤波器设计[J].计算机工程与应用,2017,53(17):108-111,172,5.
