Araştırma Makalesi

Metaheuristic FIR Filter Design with Multi-Objective Atomic Orbital Search Algorithm

Sayı: 39 31 Temmuz 2022
PDF İndir
TR EN

Metaheuristic FIR Filter Design with Multi-Objective Atomic Orbital Search Algorithm

Abstract

In this study, atomic orbital search, one of the newly proposed metaheuristic algorithms, is used to design high-performance and low-order FIR filters in MATLAB. The performance parameters of the designed filter were compared with the given literature. The objective function of filter design includes minimization of pass band ripples and stopband ripples, stop band edge frequency attenuation, square sum of the errors between the estimated frequency response and the ideal filter response. The comparison result shows the proposed method performs better than most algorithms and can be used in practical applications.

Keywords

Kaynakça

  1. Azizi, M. (2021a). Atomic orbital search: A novel metaheuristic algorithm. Applied Mathematical Modelling, 93, 657–683. https://doi.org/https://doi.org/10.1016/j.apm.2020.12.021
  2. Azizi, M. (2021b). Atomic orbital search: A novel metaheuristic algorithm. Applied Mathematical Modelling, 93, 657–683. https://doi.org/10.1016/j.apm.2020.12.021
  3. Bose, D., Biswas, S., Vasilakos, A. V. & Laha, S. (2014). Optimal filter design using an improved artificial bee colony algorithm. Information Sciences, 281, 443–461. https://doi.org/10.1016/j.ins.2014.05.033
  4. Chen, S. & Luk, B. L. (2010). Digital IIR filter design using particle swarm optimisation. International Journal of Modelling, Identification and Control, 9(4), 327–335.
  5. Gupta, L. & Mehra, R. (2011). Modified PSO based Adaptive IIR Filter Design for System Identification on FPGA. International Journal of Computer Applications, 22(5), 1–7. https://doi.org/10.5120/2583-3569
  6. Karaboga, N. (2005). Digital IIR filter design using differential evolution algorithm. Eurasip Journal on Applied Signal Processing, 2005(8), 1269–1276. https://doi.org/10.1155/ASP.2005.1269
  7. Karaboga, N. (2009). A new design method based on artificial bee colony algorithm for digital IIR filters. Journal of the Franklin Institute, 346(4), 328–348. https://doi.org/10.1016/j.jfranklin.2008.11.003
  8. Karaboga, N. & Cetinkaya, B. (2004). Design of minimum phase digital IIR filters by using genetic algorithm. Report - Helsinki University of Technology, Signal Processing Laboratory, 46, 29–32.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

31 Temmuz 2022

Gönderilme Tarihi

20 Temmuz 2022

Kabul Tarihi

26 Temmuz 2022

Yayımlandığı Sayı

Yıl 2022 Sayı: 39

Kaynak Göster

APA
Karakaş, M. F., & Latifoğlu, F. (2022). Metaheuristic FIR Filter Design with Multi-Objective Atomic Orbital Search Algorithm. Avrupa Bilim ve Teknoloji Dergisi, 39, 13-16. https://doi.org/10.31590/ejosat.1145842