B-spline Design of Digital FIR Filter using Evolutionary Computation Techniques
In the forth coming era, digital filters are becoming a true replacement for the analog (liter designs. Here in this paper we examine a design method for FIR filter using global search optimization techniques known as Evolutionary computation via genetic algorithm and bacterial foraging, where the filter design considered as an optimization problem. In this paper, an effort is made to design the maximally flat filters using generalized B-spline window. The key to our success is the fact that the bandwidth of the filer response can be modified by changing tuning parameters incorporated well within the B-spline function. This is an optimization problem. Direct approach has been deployed to design B-spline window based FIR digital filters. Four parameters (order, width, length and tuning parameter) have been optimized by using GA and EBFS. It is observed that the desired response can be obtained with lower order FIR filters with optimal width and tuning parameters.
B-Spline filter Fir filter Maximallyflat filter Genetic Algorilhm Bacteria Foraging
Manorama Swain Rutupama Panda
Dept. of Electronics &Telecommunication Silicon Institute of Technology, Bhubaneswar Dept. of Electronics &Telecommunication VSSUT, Burla
国际会议
2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)
长沙
英文
417-421
2010-12-14（万方平台首次上网日期，不代表论文的发表时间）