Complex-Valued Least Mean Kurtosis Adaptive Filter Algorithm
24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 16 - 19 May 2016, pp.325-328, (Full Text)
- Publication Type: Conference Paper / Full Text
- Volume:
- Doi Number: 10.1109/siu.2016.7495743
- City: Zonguldak
- Country: Turkey
- Page Numbers: pp.325-328
- Keywords: complex-valued adaptive filter, complex-valued system identification, complex-valued least mean Kurtosis algorithm
- Kayseri University Affiliated: No
Abstract
In 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).