Improvement of IIR Filter Discretization for Fractional Order Filter by Discrete Stochastic Optimization
dc.authorid | Kavuran, Gurkan/0000-0003-2651-5005 | |
dc.authorid | Alagoz, Baris Baykant/0000-0001-5238-6433 | |
dc.authorid | ATES, Abdullah/0000-0002-4236-6794 | |
dc.authorid | Yeroglu, Celaleddin/0000-0002-6106-2374 | |
dc.authorwosid | Kavuran, Gurkan/S-6935-2016 | |
dc.authorwosid | Yeroglu, Celaleddin/ABG-9572-2020 | |
dc.authorwosid | Alagoz, Baris Baykant/ABG-8526-2020 | |
dc.authorwosid | ATES, Abdullah/V-6929-2018 | |
dc.contributor.author | Ates, Abdullah | |
dc.contributor.author | Kavuran, Gurkan | |
dc.contributor.author | Alagoz, Baris Baykant | |
dc.contributor.author | Yeroglu, Celaleddin | |
dc.date.accessioned | 2024-08-04T20:42:52Z | |
dc.date.available | 2024-08-04T20:42:52Z | |
dc.date.issued | 2016 | |
dc.department | İnönü Üniversitesi | en_US |
dc.description | 39th International Conference on Telecommunications and Signal Processing (TSP) -- JUN 27-29, 2016 -- Vienna, AUSTRIA | en_US |
dc.description.abstract | Fractional calculus has many implications for the field of signal processing, particularly in filter design. Fractional order filter functions are generalization of all rational filter structures including integer-order filter functions and it provides more options in term of frequency selectivity property. This study presents application of stochastic optimization methods for the improvement of IIR filter discretization of fractional order continuous filter structures. We used results of well-known fractional order discretization methods as initial filter model and improved the amplitude response of discrete filter for a better fitting to the continuous fractional-order filters. Illustrative examples demonstrate that it is possible to further improve amplitude responses of IIR filter discretization obtained for the fractional order differentiators, the first and second order continuous fractional-order filter structures by using basic random search algorithms. Digital filter design is very essential for digital signal processing applications and findings of this paper may contribute to digital filter design field in practice. | en_US |
dc.description.sponsorship | IEEE Reg 8,IEEE Austria Sect,IEEE Czechoslovakia Sect,IEEE Czechoslovakia Sect SP CAS COM Joint Chapter,IEEE Croatia Sect, Communicat Chapter,Brno Univ Technol, Dept Telecommunicat,Budapest Univ Technol & Econ, Dept Telecommunicat & Media Informat,Karadeniz Tech Univ, Dept Elect & Elect Engn,W Pomeranian Univ Technol, Fac Elect Engn,VSB Tech Univ Ostrava, Dept Telecommunicat,Slovak Univ Technol, Inst Telecommunicat,Univ Ljubljana, Lab Telecommunicat,Czech Tech Univ Prague, Dept Telecommunicat Engn,Univ Osijek, Fac Elect Engn,Tech Univ Sofia, Fac Telecommunicat,Seikei Univ, Grad Sch & Fac Sci & Technol, Informat Networking Lab | en_US |
dc.identifier.endpage | 586 | en_US |
dc.identifier.isbn | 978-1-5090-1288-6 | |
dc.identifier.scopus | 2-s2.0-85006836356 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.startpage | 583 | en_US |
dc.identifier.uri | https://hdl.handle.net/11616/97639 | |
dc.identifier.wos | WOS:000390164000127 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Ieee | en_US |
dc.relation.ispartof | 2016 39th International Conference on Telecommunications and Signal Processing (Tsp) | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Fractional order systems | en_US |
dc.subject | digital filters | en_US |
dc.subject | IIR filters | en_US |
dc.subject | stochastic optimization | en_US |
dc.title | Improvement of IIR Filter Discretization for Fractional Order Filter by Discrete Stochastic Optimization | en_US |
dc.type | Conference Object | en_US |