2 citations · 5 across the 6 of their papers we have counts for
6 papers
Gate Recurrent Unit Network based on Hilbert-Schmidt Independence Criterion for State-of-Health Estimation
Ziyue Huang, Lujuan Dang, Yuqing Xie +2
State-of-health (SOH) estimation is a key step in ensuring the safe and reliable operation of batteries. Due to issues such as varying data distribution and sequence length in diff…
Bias-Compensated Normalized Maximum Correntropy Criterion Algorithm for System Identification with Noisy Input
Wentao Ma, Dongqiao Zheng, Yuanhao Li +2
This paper proposed a bias-compensated normalized maximum correntropy criterion (BCNMCC) algorithm charactered by its low steady-state misalignment for system identification with n…
Diffusion Maximum Correntropy Criterion Algorithms for Robust Distributed Estimation
Wentao Ma, Badong Chen, Jiandong Duan +1
Robust diffusion adaptive estimation algorithms based on the maximum correntropy criterion (MCC), including adaptation to combination MCC and combination to adaptation MCC, are dev…
Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments
Wentao Ma, Hua Qua, Guan Gui +3
Sparse adaptive channel estimation problem is one of the most important topics in broadband wireless communications systems due to its simplicity and robustness. So far many sparsi…
Sparsity Aware Normalized Least Mean p-power Algorithms with Correntropy Induced Metric Penalty
Wentao Ma, Hua Qu, Jihong Zhao +2
For identifying the non-Gaussian impulsive noise systems, normalized LMP (NLMP) has been proposed to combat impulsive-inducing instability. However, the standard algorithm is witho…
Robust Adaptive Sparse Channel Estimation in the Presence of Impulsive Noises
Guan Gui, Li Xu, Wentao Ma +1
Broadband wireless channels usually have the sparse nature. Based on the assumption of Gaussian noise model, adaptive filtering algorithms for reconstruction sparse channels were p…