Generalized Correntropy for Robust Adaptive Filtering

As a robust nonlinear similarity measure in kernel space, correntropy has received increasing attention in domains of machine learning and signal processing. In particular, the maximum correntropy criterion (MCC) has recently been successfully applied in robust regression and filtering. The default...

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Vydané v:	IEEE transactions on signal processing Ročník 64; číslo 13; s. 3376 - 3387
Hlavní autori:	Badong Chen, Lei Xing, Haiquan Zhao, Nanning Zheng, Principe, Jose C.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.07.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	adaptive filtering Adaptive filters Algorithms Correntropy Cost function Criteria Filtering Gaussian generalized correntropy GMCC algorithm Kernel Kernels Robustness Signal processing Signal processing algorithms Similarity Stability criteria Steady-state
ISSN:	1053-587X, 1941-0476
On-line prístup:	Získať plný text
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