780 citations · 1.6k across the 54 of their papers we have counts for
8 papers · 1 filter
Robust Matrix Completion via Maximum Correntropy Criterion and Half Quadratic Optimization
Yicong He, Fei Wang, Yingsong Li +2
Robust matrix completion aims to recover a low-rank matrix from a subset of noisy entries perturbed by complex noises, where traditional methods for matrix completion may perform p…
Maximum Total Correntropy Diffusion Adaptation over Networks with Noisy Links
Yicong He, Fei Wang, Shiyuan Wang +2
Distributed estimation over networks draws much attraction in recent years. In many situations, due to imperfect information communication among nodes, the performance of tradition…
Diffusion Adaptation Framework for Compressive Sensing Reconstruction
Yicong He, Fei Wang, Shiyuan Wang +1
Compressive sensing(CS) has drawn much attention in recent years due to its low sampling rate as well as high recovery accuracy. As an important procedure, reconstructing a sparse…
Maximum Correntropy Adaptive Filtering Approach for Robust Compressive Sensing Reconstruction
Yicong He, Fei Wang, Shiyuan Wang +2
Robust compressive sensing(CS) reconstruction has become an attractive research topic in recent years. Robust CS aims to reconstruct the sparse signals under non-Gaussian(i.e. heav…
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…
An Extended Result on the Optimal Estimation under Minimum Error Entropy Criterion
Badong Chen, Guangmin Wang, Nanning Zheng +1
The minimum error entropy (MEE) criterion has been successfully used in fields such as parameter estimation, system identification and the supervised machine learning. There is in…