Design of FIR Filters with Differential Evolution

Author

Guangquan, Zhao ; Xiyuan, Peng

Author_Institution

Harbin Inst. of Technol., Harbin

fYear

2007

Abstract

Frequency sampling method is one of the usual methods in FIR digital filter design. In frequency sampling method the value of transition band samples are usually obtained by searching for table. However, the value obtained by searching for table can not be ensured to be optimal. In this paper a new application of differential evolution (DE) to frequency sampling method is introduced and its performance is compared to that of genetic algorithm (GA). Experimental results have shown that the value of transition band samples obtained by DE can be ensured to be optimal, also, it is seen that DE is significantly faster than GA for finding the optimum filter.

Keywords

FIR filters; genetic algorithms; FIR filters; differential evolution; digital filter; frequency sampling; genetic algorithm; table searching; Algorithm design and analysis; Design methodology; Digital filters; Electronic equipment testing; Finite impulse response filter; Frequency measurement; Genetics; IIR filters; Instruments; Sampling methods; FIR filter; differential evolution; frequency sampling method;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4244-1136-8

Electronic_ISBN

978-1-4244-1136-8

Type

conf

DOI

10.1109/ICEMI.2007.4350559

Filename

4350559