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dc.contributor.authorMengguc, Engin Cemal
dc.contributor.authorAcır, Nurettin
dc.description9th International Conference on Electrical and Electronics Engineering (ELECO) -- NOV 26-28, 2015 -- Bursa, TURKEYen_US
dc.description.abstractIn this study, a complex-valued adaptive filter algorithm based on Lyapunov stability theory is presented to solve a system identification problem in the complex domain. The performance of the proposed complex-valued Lyapunov adaptive filter (CLAF) algorithm is improved for the complex-valued system identification problem by integrating the LST into the filter optimization cost. The performance of the proposed algorithm is tested on a complex-valued moving average (MA) system identification problem and compared with the conventional complex-valued least mean square (CLMS) and complex-valued normalized least mean square (CNLMS) algorithms. The simulation results show that the proposed CLAF algorithm has achieved a faster convergence rate and a lower steady-state MSE performance when compared to the other algorithms.en_US
dc.description.sponsorshipChamber Elect Engineers Bursa Branch, Istanbul Techn Univ, Fac Elect & Elect Engn, Uludag Univ, Dept Elect & Elect Engn, IEEE, Reg 8, IEEE Turkey Sect, CAS Chapter, Sci & Technol Res Council Turkeyen_US
dc.relation.ispartof2015 9Th International Conference On Electrical And Electronics Engineering (Eleco)en_US
dc.subject[No Keywords]en_US
dc.titleA Complex-Valued Adaptive Filter Algorithm for System Identification Problemen_US
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.contributor.institutionauthorAcır, Nurettin
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US

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