Comparative Response of FIR Filter Using GA PSO BBO

Abstract: Digital filters have found important applications in an increasing number of fields in science and engineering, and design techniques have been developed to achieve desired filter characteristics. This paper presents optimization techniques for the design of optimal digital FIR low pass filter. The design of digital FIR filters possible by solving a system of linear equations. In this paper, design techniques of low pass FIR filters using Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Biogeography based optimization are presented and comparison of these fir low pass filter design techniques on the basis of elapsed time. The implementation is done in matlab7.5.

Keywords: Fir filter, Genetic algorithm, PSO, BBO etc.