Mengüç, Engin CemalAcir, Nurettin2024-11-072024-11-072016978-605010737-1https://doi.org/10.1109/ELECO.2015.7394557https://hdl.handle.net/11480/110409th International Conference on Electrical and Electronics Engineering, ELECO 2015 -- 26 November 2015 through 28 November 2015 -- Bursa -- 119202In 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. © 2015 Chamber of Electrical Engineers of Turkey.eninfo:eu-repo/semantics/closedAccessAdaptive filtersBandpass filtersOptimizationReligious buildingsComplex domainsFaster convergenceFilter algorithmFilter optimizationLeast mean squaresLyapunov stability theoryNormalized least mean squareSystem identification problemsAlgorithmsConference Object1241124410.1109/ELECO.2015.73945572-s2.0-84963829038N/A