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 | 216 | 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 | 172 | 2021 |
Kernel recursive maximum correntropy Z Wu, J Shi, X Zhang, W Ma, B Chen, I Senior Member Signal Processing 117, 11-16, 2015 | 172 | 2015 |
Diffusion maximum correntropy criterion algorithms for robust distributed estimation W Ma, B Chen, J Duan, H Zhao Digital Signal Processing 58, 10-19, 2016 | 125 | 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 | 112 | 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 | 92 | 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 | 77 | 2019 |
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 | 71 | 2017 |
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 | 71 | 2016 |
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 | 52 | 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 | 38 | 2020 |
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 | 37 | 2018 |
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 | 36 | 2018 |
Robust state of charge estimation for Li-ion batteries based on cubature kalman filter with generalized maximum correntropy criterion W Ma, P Guo, X Wang, Z Zhang, S Peng, B Chen Energy 260, 125083, 2022 | 33 | 2022 |
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 | 31 | 2020 |
Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and maximum mixture correntropy long short-term memory neural network W Lu, J Duan, P Wang, W Ma, S Fang International Journal of Electrical Power & Energy Systems 144, 108552, 2023 | 30 | 2023 |
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 | 29 | 2018 |
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 | 28 | 2018 |
Proportionate NLMS with unbiasedness criterion for sparse system identification in the presence of input and output noises W Ma, D Zheng, X Tong, Z Zhang, B Chen IEEE Transactions on Circuits and Systems II: Express Briefs 65 (11), 1808-1812, 2017 | 27 | 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 | 27 | 2017 |