Newtonian-Type Adaptive Filtering Based on the Maximum Correntropy Criterion

This paper provides a novel Newtonian-type optimization method for robust adaptive filtering inspired by information theory learning. With the traditional minimum mean square error (MMSE) criterion replaced by criteria like the maximum correntropy criterion (MCC) or generalized maximum correntropy c...

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Detalles Bibliográficos
Autores principales: Yue, Pengcheng, Qu, Hua, Zhao, Jihong, Wang, Meng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597172/
https://www.ncbi.nlm.nih.gov/pubmed/33286691
http://dx.doi.org/10.3390/e22090922

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597172/
https://www.ncbi.nlm.nih.gov/pubmed/33286691
http://dx.doi.org/10.3390/e22090922

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