Menguc, Engin CemalAcır, Nurettin2021-03-202021-03-202016978-1-5090-1679-2https://hdl.handle.net/20.500.12885/110524th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEYMenguc, Engin Cemal/0000-0002-0619-549XIn this study, a complex-valued least mean Kurtosis (CLMK) adaptive filter algorithm is designed for processing complex-valued signals. The performance of the designed algorithm is tested on a complex-valued system identification and compared the complex-valued least mean square (CLMS) and complex-valued normalized least mean square (CNLMS) algorithms. As a result, the CLMK algorithm shows a higher performance than the other algorithms in terms of the convergence rate, mean square error (MSE) and mean square deviation (MSD).trinfo:eu-repo/semantics/closedAccesscomplex-valued adaptive filtercomplex-valued system identificationcomplex-valued least mean Kurtosis algorithmConference Object325328WOS:000391250900059N/AN/A