Variable Kernel Width Algorithm of Generalized Maximum Correntropy Criteria for Censored Regression

The constant kernel width of generalized maximum correntropy criteria (GMCC) has arisen that the steady-state error and convergence speed can be mutually exclusive. To solve this problem, this brief proposes the variable kernel width (VKW) GMCC algorithm. Actually, due to the censored problem, the o...

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Vydané v:	IEEE transactions on circuits and systems. II, Express briefs Ročník 69; číslo 3; s. 1877 - 1881
Hlavní autori:	Zhao, Haiquan, Chen, Bing, Zhu, Yingying, He, Xiaoqiong, Shu, Zeliang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.03.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	adaptive filtering Adaptive filters Algorithms censored regression Convergence Criteria Filtering algorithms Generalized maximum correntropy criteria Kernel Kernels Optimized production technology Random noise Signal processing algorithms Steady-state variable kernel width
ISSN:	1549-7747, 1558-3791
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