A novel IIR based FIR filter design technique using a new fitness function determined by distance metrics
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Dosyalar
Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Gazi Univ, Fac Engineering Architecture
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this study, the focus is on the design of a filter that will provide high performance in signal processing applications. The performance of the designed filter has been numerically demonstrated and tested on the ECG signal. The design scheme of the proposed study is shown in Figure A.Purpose: This paper aims to develop a high-performance Finite Impulse Response (FIR) filter design method that controls the over-frequency response parameters of the designed filter with a simple and new approach. For this purpose, an optimal FIR filter based on an Infinite Impulse Response (IIR) filter is designed, taking into account all the parameters of pass and stop band ripples, stop band attenuation, transition bandwidth, and linear phase response, and using the advantages of the better frequency response of the IIR filter. Theory and Methods: The optimal FIR filter was designed using the finite impulse response of the IIR filter, leveraging the advantages of the IIR filter's better frequency response characteristics. The parameters of Butterworth and Chebyshev filters were optimized using Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) Algorithms with novel fitness functions by employing various distance metrics. The optimization of IIR filter parameters using a multi-objective fitness function based on distance metrics provided effective results using the total and mean square error of the filter performance error vector.Results: According to the numerical results, the filter designed using the proposed approach achieved more precise signal decomposition compared to other commonly used traditional filters.Conclusion: The performance of the designed low-pass filter was compared with existing literature filters in terms of band stopband ripple, stopband attenuation, and transition band. Based on the numerical results, the proposed approach offers a high-performance alternative to other literature filters, utilizing new ideas with IIR-based design and novel fitness functions that address the drawbacks of both IIR and FIR filters.
Açıklama
Anahtar Kelimeler
FIR Filter Design, IIR Filter, Optimization Algorithms, Swarm Optimization Algorithm, Evolutionary
Kaynak
Journal of the Faculty of Engineering And Architecture of Gazi University
WoS Q Değeri
N/A
Scopus Q Değeri
Q2
Cilt
39
Sayı
1
