Menguc, Engin CemalAcir, Nurettin2024-11-072024-11-072017978-1-5090-6494-62165-0608https://hdl.handle.net/11480/1379325th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEYIn this study, the adaptive prediction of complex valued signals has been realized by using the complex-valued least mean Kurtosis (CLMK) algorithm. The prediction performance of the CLMK algorithm has been evaluated on three benchmark complex-valued signals and a complex-valued real-world radar data by comparing with the traditional least mean square (CLMS) algorithm. Simulation results have verified that the CLMK algorithm outperforms the CLMS algorithm.trinfo:eu-repo/semantics/closedAccesscomplex-valued adaptive filterleast mean Kurtosisprediction problemConference Object2-s2.0-85026313559N/AWOS:000413813100112N/A