Mengüç E.C.Acir N.2019-08-012019-08-0120169.78151E+12https://dx.doi.org/10.1109/SIU.2016.7495743https://hdl.handle.net/11480/183524th Signal Processing and Communication Application Conference, SIU 2016 -- 16 May 2016 through 19 May 2016 -- -- 122605In 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). © 2016 IEEE.trinfo:eu-repo/semantics/closedAccesscomplex-valued adaptive filtercomplex-valued least mean Kurtosis algorithmcomplex-valued system identificationConference Object32532810.1109/SIU.2016.74957432-s2.0-84982813855N/A