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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Detalles Bibliográficos
Autores principales: Ma, Wentao, Zheng, Dongqiao, Zhang, Zhiyu, Duan, Jiandong, Qiu, Jinzhe, Hu, Xianzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844630/
https://www.ncbi.nlm.nih.gov/pubmed/33265497
http://dx.doi.org/10.3390/e20060407

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844630/
https://www.ncbi.nlm.nih.gov/pubmed/33265497
http://dx.doi.org/10.3390/e20060407

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