Newton Recursion Based Random Data-Reusing Generalized Maximum Correntropy Criterion Adaptive Filtering Algorithm

Newton Recursion Based Random Data-Reusing Generalized Maximum Correntropy Criterion Adaptive Filtering Algorithm

For system identification under impulsive-noise environments, the gradient-based generalized maximum correntropy criterion (GB-GMCC) algorithm can achieve a desirable filtering performance. However, the gradient method only uses the information of the first-order derivative, and the corresponding st...

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Bibliographic Details
Main Authors: Ji Zhao, Yuzong Mu, Yanping Qiao, Qiang Li
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Entropy
Subjects:
generalized maximum correntropy
adaptive filtering algorithm
Newton recursion
data-reusing
acoustic echo cancellation
Online Access:https://www.mdpi.com/1099-4300/24/12/1845

Internet

https://www.mdpi.com/1099-4300/24/12/1845

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