A Soft Parameter Function Penalized Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification

A Soft Parameter Function Penalized Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification

A soft parameter function penalized normalized maximum correntropy criterion (SPF-NMCC) algorithm is proposed for sparse system identification. The proposed SPF-NMCC algorithm is derived on the basis of the normalized adaptive filter theory, the maximum correntropy criterion (MCC) algorithm and zero...

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Bibliographic Details
Main Authors:	Yingsong Li, Yanyan Wang, Rui Yang, Felix Albu
Format:	Article
Language:	English
Published:	MDPI AG 2017-01-01
Series:	Entropy
Subjects:	adaptive filters maximum correntropy criterion kernel framework sparse adaptive filtering soft parameter function zero attracting algorithm
Online Access:	http://www.mdpi.com/1099-4300/19/1/45

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