A novel IIR based FIR filter design technique using a new fitness function determined by distance metrics

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dc.authorscopusid15063074000en_US
dc.authorscopusid58620595600en_US
dc.contributor.authorLatifoglu, Fatma
dc.contributor.authorArikan, Sumeyya
dc.date.accessioned2024-08-23T16:03:53Z
dc.date.available2024-08-23T16:03:53Z
dc.date.issued2024en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractIn 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.en_US
dc.identifier.doi10.17341/gazimmfd.1061112
dc.identifier.endpage648en_US
dc.identifier.issn1300-1884
dc.identifier.issn1304-4915
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85172416759en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage635en_US
dc.identifier.trdizinid1238600en_US
dc.identifier.urihttps://doi.org/10.17341/gazimmfd.1061112
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1238600
dc.identifier.urihttps://hdl.handle.net/20.500.12684/13969
dc.identifier.volume39en_US
dc.identifier.wosWOS:001058089000048en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherGazi Univ, Fac Engineering Architectureen_US
dc.relation.ispartofJournal of the Faculty of Engineering And Architecture of Gazi Universityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFIR Filter Designen_US
dc.subjectIIR Filteren_US
dc.subjectOptimization Algorithmsen_US
dc.subjectSwarm Optimization Algorithmen_US
dc.subjectEvolutionaryen_US
dc.titleA novel IIR based FIR filter design technique using a new fitness function determined by distance metricsen_US
dc.typeArticleen_US

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