Research Article
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Year 2022, Volume: 15 Issue: 3, 838 - 844, 30.12.2022
https://doi.org/10.18185/erzifbed.1097138

Abstract

References

  • Adamu, Z. M., Dada, E. G., Joseph, S. B 2021. “Moth Flame Optimization Algorithm for Optimal FIR Filter Design”, International Journal of Intelligent Systems & Applications, 13(5).
  • Dwivedi, A. K., Ghosh, S., Londhe, N. D 2016. “Low power FIR filter design using modified multi-objective artificial bee colony algorithm”, Engineering Applications of Artificial Intelligence, 55, 58-69.
  • GARIP, Z. B., BOZ, A. F 2018. “The FIR Filter Design based on Genetic Algorithm”, Balkan Journal of Electrical and Computer Engineering, 6, 33-36.
  • Ji, D 2016. “The application of artificial bee colony (ABC) algorithm in FIR filter design”, In 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) (pp. 663-667). IEEE.
  • Kumari, N., Jaglan, P 2017.” Design of FIR Low Pass Filter Using Particle Swarm Optimization Algorithm”, International Journal of Advanced Research and Publications,1(3)
  • Kwan, H. K., Liang, J 2016a. “Minimax design of linear phase FIR filters using cuckoo search algorithm”, in 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP) (pp. 1-4). IEEE.
  • Praneeth, A., Shah, P.K 2016.” Design of FIR Filter Using Particle Swarm Optimization”, in international conference on Advance in computing, communication and informatics (ICACCI), Jaipur in (pp. 2658-2661).
  • Saha, S. K., Ghoshal, S. P., Kar, R., Mandal, D 2013a. “Cat swarm optimization algorithm for optimal linear phase FIR filter design”. ISA transactions, 52(6), 781-794.
  • Saha, S. K., Kar, R., Mandal, D., Ghoshal, S. P 2013b. “Design and simulation of FIR band pass and band stop filters using gravitational search algorithm”, Memetic Computing, 5(4), 311-321.
  • Şenel, F. A., Gökçe, F., Yüksel, A. S., Yiğit, T 2019.” A novel hybrid PSO–GWO algorithm for optimization problems”, Engineering with Computers, 35(4), 1359-1373.
  • Sidhu, N. K., Dhillon, J. S 2017. “DESIGN OF DIGITAL FIR FILTER USING GREY WOLF OPTIMIZER ALGORITHM”, International Journal of Advanced Research in Computer Science, 8(7).
  • Suckley, D 1991. “Genetic algorithm in the design of FIR filters”, IEE Proceedings G (Circuits, Devices and Systems), 138(2), 234-238.
  • Winder, S 2002. “Analog and digital filter design”. Elsevier.

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

Year 2022, Volume: 15 Issue: 3, 838 - 844, 30.12.2022
https://doi.org/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.

References

  • Adamu, Z. M., Dada, E. G., Joseph, S. B 2021. “Moth Flame Optimization Algorithm for Optimal FIR Filter Design”, International Journal of Intelligent Systems & Applications, 13(5).
  • Dwivedi, A. K., Ghosh, S., Londhe, N. D 2016. “Low power FIR filter design using modified multi-objective artificial bee colony algorithm”, Engineering Applications of Artificial Intelligence, 55, 58-69.
  • GARIP, Z. B., BOZ, A. F 2018. “The FIR Filter Design based on Genetic Algorithm”, Balkan Journal of Electrical and Computer Engineering, 6, 33-36.
  • Ji, D 2016. “The application of artificial bee colony (ABC) algorithm in FIR filter design”, In 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) (pp. 663-667). IEEE.
  • Kumari, N., Jaglan, P 2017.” Design of FIR Low Pass Filter Using Particle Swarm Optimization Algorithm”, International Journal of Advanced Research and Publications,1(3)
  • Kwan, H. K., Liang, J 2016a. “Minimax design of linear phase FIR filters using cuckoo search algorithm”, in 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP) (pp. 1-4). IEEE.
  • Praneeth, A., Shah, P.K 2016.” Design of FIR Filter Using Particle Swarm Optimization”, in international conference on Advance in computing, communication and informatics (ICACCI), Jaipur in (pp. 2658-2661).
  • Saha, S. K., Ghoshal, S. P., Kar, R., Mandal, D 2013a. “Cat swarm optimization algorithm for optimal linear phase FIR filter design”. ISA transactions, 52(6), 781-794.
  • Saha, S. K., Kar, R., Mandal, D., Ghoshal, S. P 2013b. “Design and simulation of FIR band pass and band stop filters using gravitational search algorithm”, Memetic Computing, 5(4), 311-321.
  • Şenel, F. A., Gökçe, F., Yüksel, A. S., Yiğit, T 2019.” A novel hybrid PSO–GWO algorithm for optimization problems”, Engineering with Computers, 35(4), 1359-1373.
  • Sidhu, N. K., Dhillon, J. S 2017. “DESIGN OF DIGITAL FIR FILTER USING GREY WOLF OPTIMIZER ALGORITHM”, International Journal of Advanced Research in Computer Science, 8(7).
  • Suckley, D 1991. “Genetic algorithm in the design of FIR filters”, IEE Proceedings G (Circuits, Devices and Systems), 138(2), 234-238.
  • Winder, S 2002. “Analog and digital filter design”. Elsevier.
There are 13 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Makaleler
Authors

Çağrı Altıntaşı 0000-0003-1530-4675

Early Pub Date December 27, 2022
Publication Date December 30, 2022
Published in Issue Year 2022 Volume: 15 Issue: 3

Cite

APA Altıntaşı, Ç. (2022). Design of Digital Low Pass FIR Filter Using Hybrid Particle Swarm – Grey Wolf Optimization Algorithm. Erzincan University Journal of Science and Technology, 15(3), 838-844. https://doi.org/10.18185/erzifbed.1097138