Design of Digital Low Pass FIR Filter Using Hybrid Particle Swarm – Grey Wolf Optimization Algorithm

Authors : Çağrı ALTINTAŞI

Pages : 838-844

Doi:10.18185/erzifbed.1097138

View : 12 | Download : 4

Publication Date : 2022-12-30

Article Type : Research Paper

Abstract :In this study, digital low-pass FIR filter is designed using Hybrid Particle Swarm – Grey Wolf Optimization Algorithm insert ignore into journalissuearticles values(HPSGWO);. The purpose of digital FIR filter design with HPSGWO is to optimized filter coefficients that are closest to the characteristics of the ideal filter. The obtained results are compared with PSO, and GWO which were previously used for FIR filters design in the literature. According to the obtained results, HPSGWO has better filter response and less stop band ripple than other methods.
Keywords : Finite Impulse Response FIR, , Particle Swarm Optimization PSO, , Grey Wolf Optimizer GWO, , Hybrid Particle Swarm G