Sparse-Aware Bias-Compensated Adaptive Filtering Algorithms Using the Maximum Correntropy Criterion for Sparse System Identification with Noisy Input

Sparse-Aware Bias-Compensated Adaptive Filtering Algorithms Using the Maximum Correntropy Criterion for Sparse System Identification with Noisy Input

To address the sparse system identification problem under noisy input and non-Gaussian output measurement noise, two novel types of sparse bias-compensated normalized maximum correntropy criterion algorithms are developed, which are capable of eliminating the impact of non-Gaussian measurement noise...

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Bibliographic Details
Main Authors: Wentao Ma, Dongqiao Zheng, Zhiyu Zhang, Jiandong Duan, Jinzhe Qiu, Xianzhi Hu
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Entropy
Subjects:
bias-compensated
correntropy-induced metric
maximum correntropy criterion
noisy input
proportionate update
sparse system identification
Online Access:http://www.mdpi.com/1099-4300/20/6/407

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http://www.mdpi.com/1099-4300/20/6/407

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