Menguc, Engin CemalAcir, Nurettin2019-08-012019-08-012016978-1-5090-1679-2https://hdl.handle.net/11480/374924th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEYIn 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 Object3253282-s2.0-84982813855N/AWOS:000391250900059N/A