Wentao Ma
Cited by
Cited by
Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments
W Ma, H Qu, G Gui, L Xu, J Zhao, B Chen
Journal of the Franklin Institute 352 (7), 2708-2727, 2015
Kernel recursive maximum correntropy
Z Wu, J Shi, X Zhang, W Ma, B Chen, I Senior Member
Signal Processing 117, 11-16, 2015
Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short-term memory neural network
J Duan, P Wang, W Ma, X Tian, S Fang, Y Cheng, Y Chang, H Liu
Energy 214, 118980, 2021
Diffusion maximum correntropy criterion algorithms for robust distributed estimation
W Ma, B Chen, J Duan, H Zhao
Digital Signal Processing 58, 10-19, 2016
A novel hybrid model based on nonlinear weighted combination for short-term wind power forecasting
J Duan, P Wang, W Ma, S Fang, Z Hou
International Journal of Electrical Power & Energy Systems 134, 107452, 2022
Robust power system state estimation with minimum error entropy unscented Kalman filter
L Dang, B Chen, S Wang, W Ma, P Ren
IEEE Transactions on Instrumentation and Measurement 69 (11), 8797-8808, 2020
Unscented Kalman filter with generalized correntropy loss for robust power system forecasting-aided state estimation
W Ma, J Qiu, X Liu, G Xiao, J Duan, B Chen
IEEE Transactions on Industrial Informatics 15 (11), 6091-6100, 2019
Sparse least mean p-power algorithms for channel estimation in the presence of impulsive noise
W Ma, B Chen, H Qu, J Zhao
Signal, Image and Video Processing 10 (3), 503-510, 2016
Robust kernel adaptive filters based on mean p-power error for noisy chaotic time series prediction
W Ma, J Duan, W Man, H Zhao, B Chen
Engineering Applications of Artificial Intelligence 58, 101-110, 2017
Wind Power Prediction Based on Extreme Learning Machine with Kernel Mean p-Power Error Loss
N Li, F He, W Ma
Energies 12 (4), 673, 2019
Wind power prediction of kernel extreme learning machine based on differential evolution algorithm and cross validation algorithm
N Li, F He, W Ma, R Wang, X Zhang
Ieee Access 8, 68874-68882, 2020
Robust proportionate adaptive filter based on maximum correntropy criterion for sparse system identification in impulsive noise environments
W Ma, D Zheng, Z Zhang, J Duan, B Chen
Signal, Image and Video Processing 12, 117-124, 2018
Bias-compensated normalized maximum correntropy criterion algorithm for system identification with noisy input
W Ma, D Zheng, Y Li, Z Zhang, B Chen
Signal Processing 152, 160-164, 2018
State of charge estimation of lithium battery based on improved correntropy extended Kalman filter
J Duan, P Wang, W Ma, X Qiu, X Tian, S Fang
Energies 13 (16), 4197, 2020
Linear Kalman filtering algorithm with noisy control input variable
W Ma, J Qiu, J Liang, B Chen
IEEE Transactions on Circuits and Systems II: Express Briefs 66 (7), 1282-1286, 2018
Prediction method for network traffic based on maximum correntropy criterion
Q Hua, M Wentao, Z Jihong, W Tao
China Communications 10 (1), 134-145, 2013
Adaptive unscented kalman filter with correntropy loss for robust state of charge estimation of lithium-ion battery
Q Sun, H Zhang, J Zhang, W Ma
Energies 11 (11), 3123, 2018
Recursive generalized maximum correntropy criterion algorithm with sparse penalty constraints for system identification
W Ma, J Duan, B Chen, G Gui, W Man
Asian Journal of Control 19 (3), 1164-1172, 2017
General mixed-norm-based diffusion adaptive filtering algorithm for distributed estimation over network
W Ma, J Duan, W Man, J Liang, B Chen
IEEE Access 5, 1090-1102, 2017
Minimum error entropy algorithms with sparsity penalty constraints
Z Wu, S Peng, W Ma, B Chen, JC Principe
Entropy 17 (5), 3419-3437, 2015
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