Cargando…
A Robust Diffusion Minimum Kernel Risk-Sensitive Loss Algorithm over Multitask Sensor Networks
Distributed estimation over sensor networks has attracted much attention due to its various applications. The mean-square error (MSE) criterion is one of the most popular cost functions used in distributed estimation, which achieves its optimality only under Gaussian noise. However, impulsive noise...
Autores principales: | Li, Xinyu, Shi, Qing, Xiao, Shuangyi, Duan, Shukai, Chen, Feng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566175/ https://www.ncbi.nlm.nih.gov/pubmed/31117239 http://dx.doi.org/10.3390/s19102339 |
Ejemplares similares
-
Recursive Minimum Complex Kernel Risk-Sensitive Loss Algorithm
por: Qian, Guobing, et al.
Publicado: (2018) -
A Robust Diffusion Estimation Algorithm with Self-Adjusting Step-Size in WSNs
por: Shao, Xiaodan, et al.
Publicado: (2017) -
Diffusion Logarithm-Correntropy Algorithm for Parameter Estimation in Non-Stationary Environments over Sensor Networks
por: Hu, Limei, et al.
Publicado: (2018) -
Kernel Risk-Sensitive Mean p-Power Error Algorithms for Robust Learning
por: Zhang, Tao, et al.
Publicado: (2019) -
Tension and Robustness in Multitasking Cellular Networks
por: Wong, Jeffrey V., et al.
Publicado: (2012)