Sparse-Aware Bias-Compensated Adaptive Filtering Algorithms Using the Maximum Correntropy Criterion for Sparse System Identification with Noisy Input. [PDF]
Entropy (Basel), 2018 Ma W +5 more
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Affine Iterative Closest Point Algorithm Based on Color Information and Correntropy for Precise Point Set Registration. [PDF]
Sensors (Basel), 2023 Liang L, Pei H.
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Application of Adaptive Robust Kalman Filter Base on MCC for SINS/GPS Integrated Navigation. [PDF]
Sensors (Basel), 2023 Li L, Wang J, Chen Z, Yu T.
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Editorial: The application of artificial intelligence in brain-computer interface and neural system rehabilitation. [PDF]
Front Neurosci, 2023 Xu F, Ming D, Jung TP, Xu P, Xu M.
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Student's t-Kernel-Based Maximum Correntropy Kalman Filter. [PDF]
Sensors (Basel), 2022 Huang H, Zhang H.
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Maximum Correntropy with Variable Center Unscented Kalman Filter for Robust Power System State Estimation. [PDF]
Entropy (Basel), 2022 Sun Z, Liu C, Peng S.
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A robust maximum correntropy forecasting model for time series with outliers. [PDF]
PeerJ Comput Sci, 2023 Ren J, Li WQ.
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A Robust Hierarchical Estimation Scheme for Vehicle State Based on Maximum Correntropy Square-Root Cubature Kalman Filter. [PDF]
Entropy (Basel), 2023 Qi D, Feng J, Li Y, Wang L, Song B.
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State of Charge Estimation of Battery Based on Neural Networks and Adaptive Strategies with Correntropy. [PDF]
Sensors (Basel), 2022 Navega Vieira R +3 more
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A Robust INS/USBL/DVL Integrated Navigation Algorithm Using Graph Optimization. [PDF]
Sensors (Basel), 2023 Li P, Liu Y, Yan T, Yang S, Li R.
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