Results 41 to 50 of about 935 (185)
Maximum Correntropy Square-Root Cubature Kalman Filter for Non-Gaussian Measurement Noise
IEEE Access, 2020 Cubature Kalman filter (CKF) is widely used for non-linear state estimation under Gaussian noise. However, the estimation performance may degrade greatly in presence of heavy-tailed measurement noise.
Jingjing He +3 more
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Partial maximum correntropy regression for robust electrocorticography decoding
Frontiers in Neuroscience, 2023 The Partial Least Square Regression (PLSR) method has shown admirable competence for predicting continuous variables from inter-correlated electrocorticography signals in the brain-computer interface.
Yuanhao Li +4 more
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智能科学与技术学报, 2021 A method which utilizes maximum correntropy criterion and locality information called collaborative representation based classifier with maximum correntropy criterion and locality constraint (CRC/MCCLC) was proposed.On the one hand, CRC/MCCLC was not ...
Qinru YU, Guifu LU
doaj
Robust Motion Averaging under Maximum Correntropy Criterion [PDF]
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 Recently, the motion averaging method has been introduced as an effective means to solve the multi-view registration problem. This method aims to recover global motions from a set of relative motions, where the original method is sensitive to outliers due to using the Frobenius norm error in the optimization.
Jihua Zhu +5 more
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Channel Parameter Estimation in the Presence of Phase Noise Based on Maximum Correntropy Criterion
, 2021 Channel Parameter Estimation in the Presence of Phase Noise Based on Maximum Correntropy Criterion.
amir alizadeh (11794091)
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Robust equivalent circuit model parameters identification scheme for State of Charge (SOC) estimation based on maximum correntropy criterion [PDF]
Equivalent circuit model (ECM) parameters identification, which aims to identify the model parameters of ECM accurately is vital for assessing battery status and refining battery management systems (BMS), extensive research has been conducted in this ...
Zhao, Xuezhuan +7 more
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Kernel adaptive filtering with maximum correntropy criterion [PDF]
The 2011 International Joint Conference on Neural Networks, 2011 Kernel adaptive filters have drawn increasing attention due to their advantages such as universal nonlinear approximation with universal kernels, linearity and convexity in Reproducing Kernel Hilbert Space (RKHS). Among them, the kernel least mean square (KLMS) algorithm deserves particular attention because of its simplicity and sequential learning ...
Songlin Zhao +2 more
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, 2023 This paper investigates the state estimation problem for the linear discrete-time system with both packet dropping and non-Gaussian noise. Specifically, maximum correntropy Kalman filter algorithms are derived under different packet dropping models. Both
Song, Xinmin +3 more
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, 2018 A proportionate-type normalized maximum correntropy criterion (PNMCC) with a correntropy induced metric (CIM) zero attraction terms is presented, whose performance is also discussed for identifying sparse systems.
Yingsong Li, Yanyan Wang, Laijun Sun
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An Adaptive Channel Estimation Based on Fixed-Point Generalized Maximum Correntropy Criterion
IEEE Access, 2020 Many conventional adaptive channel estimation methods are based on minimum mean square error (MMSE) criterion, maximum correntropy criterion (MCC) or least p-norm criterion.
Pengcheng Yue +3 more
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