The FIR Filter Design Method Based on Improved Genetic Algorithm

摘要：

The Finite Impulse Response (FIR) fitter design target is to approximate the ideal fitters on the request of a given specifications. Genetic algorithms is a global optimal search algorithm of mimic biological evolution, there are Precocious and Slow convergence problems if it is directly applicated. Based on these problems, the method is used adaptive selection to improve in the choice of the crossover operator and- its mutation operator, based on design features of FIR filter frequency sampling method , we use improved genetic algorithm, Look-up table, references, and the proposed method by software simulation in the same design specifications, its results show that the proposed method can obtain better results.

关键词： component Genetic Algorithm FIR filter Frequency sampling method simulation

作者: ZHAO An-xin CHEN Ming LIU Jun-Hua ZHANG Zhong-Hua

作者单位: Xian Jiaotong University Xian University Of Science and Technology xian, China Xian University of Posts and Telecommunications xian, China Xian Jiaotong University xian, China Xian Jiaotong University Xian,China National Institute of Metrology Beijing, China

会议类型: 国际会议

会议名称: The 13th IEEE Joint International Computer Science and Information Technology Conference(2011年第13届IEEE联合国际计算机科学与信息技术会议 JICSIT 2011)

会议地点: 重庆

会议语种:英文

页码: 1124-1127

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）