Design of discrete coefficient FIR filters using fast simulated evolutionary optimization

Author

Rao, Sathyanarayan S. ; Chellapilla, Kumar

Author_Institution

Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA

Volume

2

fYear

1996

fDate

3-6 Jun 1996

Firstpage

1185

Abstract

In this paper we present a new algorithm, fast simulated evolutionary optimization (FSEO), a multi-agent stochastic search method for optimizing the coefficients of digital filters in the signed power-of-two (SPT) space by minimizing the weighted squared error between discrete filter frequency response and desired frequency response. Unlike conventional methods where each coefficient is allocated a fixed number of SPT terms, our method allows the number of SPT terms for each coefficient to vary subject to the number of SPT terms for the entire filter. Examples on low pass FIR filter design show that FSEO achieves up to 10.76 dB improvement over simulated annealing (SA) and SEO

Keywords

FIR filters; filtering theory; frequency response; genetic algorithms; search problems; FIR filters; digital filters; discrete coefficient; fast simulated evolutionary optimization; frequency response; multi-agent stochastic search; power-of-two space; weighted squared error; Computational modeling; Design optimization; Digital filters; Electronic mail; Finite impulse response filter; Frequency response; Optimization methods; Search methods; Simulated annealing; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1996., IEEE International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-7803-3210-5

Type

conf

DOI

10.1109/ICNN.1996.549066

Filename

549066