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Design of Digital Low Pass FIR Filter Using Hybrid Particle Swarm – Grey Wolf Optimization Algorithm
2022
Journal:  
Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Author:  
DOI:  
10.18185/erzifbed.1097138
Abstract:

In this study, digital low-pass FIR filter is designed using Hybrid Particle Swarm – Grey Wolf Optimization Algorithm (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:

null
2022
Journal:  
Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Author:  
DOI:  
10.18185/erzifbed.1097138
0
2022
Journal:  
Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Author:  
DOI:  
10.18185/erzifbed.1097138
Citation Owners
Information: There is no ciation to this publication.
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Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Field :   Fen Bilimleri ve Matematik

Journal Type :   Uluslararası

Metrics
Article : 829
Cite : 1.110
2023 Impact : 0.011
Details
Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi