Prediction of Complex-Valued Signals by Using Complex-Valued LMK Algorithm

被引：0
|
作者：
Menguc, Engin Cemal [1 ]
Acir, Nurettin [2 ]
机构：
[1] Omer Halisdemir Univ, Elekt Elekt Muhendisligi, Nigde, Turkey
[2] Bursa Tekn Univ, Elekt Elekt Muhendisligi, Bursa, Turkey
来源：
2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2017年
关键词：
complex-valued adaptive filter; least mean Kurtosis; prediction problem;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In 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.
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页数：4
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