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Robust 3-D AOA Localization Based on Maximum Correntropy Criterion With Variable Center
IEEE Transactions on Signal ProcessingThis contribution investigates the problem of three-dimensional (3-D) angle-of-arrival (AOA) source localization (SL) in the presence of symmetric $\alpha$-stable ($\mathcal{S\alpha S}$) impulsive noise for $\alpha\in(0,2]$.
Keyuan Hu +4 more
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Maximum Correntropy Criterion With Variable Center for NLOS Mitigation in Elliptic Positioning
IEEE Transactions on Vehicular TechnologyThis correspondence revisits the problem of robust elliptic positioning (EP) in the possible presence of unreliable bistatic range (BR) measurements and focuses specifically on mitigating the negative effects of the non-line-of-sight (NLOS) contaminated ...
Ruixin Zhai, Wenxin Xiong
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Robust locality preserving projection based on maximum correntropy criterion
Journal of Visual Communication and Image Representation, 2014LPP-MCC utilizes the maximum correntropy as the distance metric.The objective problem of LPP-MCC is solved via a half-quadratic optimization procedure.LPP-MCC is more robust to large outliers than LPP-L2 and LPP-L1.LPP-MCC avoids the small sample size (SSS) problem.
Fujin Zhong, Defang Li, Jiashu Zhang
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A New Approach To Online Regression Based On Maximum Correntropy Criterion
2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP), 2019The problem of linear adaptive filtering (or equivalently, online regression) in the presence of non-Gaussian noise is addressed. One efficient way in face of environments with non-Gaussian noise is to employ information theoretic criteria such as correntropy.
Sajjad Bahrami, Ertem Tuncel
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An Efficient Parameter Optimization of Maximum Correntropy Criterion
IEEE Signal Processing Letters, 2023Long Shi 0002, Lu Shen, Badong Chen
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International Conference on Robotics, Intelligent Control and Artificial Intelligence
In traditional maximum correntropy criterion extended Kalman filter (mccEKF) algorithms, the observation noise covariance matrix, is usually set as a fixed value.
XiangPeng Wang +4 more
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In traditional maximum correntropy criterion extended Kalman filter (mccEKF) algorithms, the observation noise covariance matrix, is usually set as a fixed value.
XiangPeng Wang +4 more
semanticscholar +1 more source
Asian journal of control
The cubature Kalman filter (CKF) based on maximum correntropy criterion (MCC) is robust under non‐Gaussian noises, but it may encounter numerical problems when there are large outliers.
Tao Lu, Weidong Zhou, Yue Hu, Shun Tong
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The cubature Kalman filter (CKF) based on maximum correntropy criterion (MCC) is robust under non‐Gaussian noises, but it may encounter numerical problems when there are large outliers.
Tao Lu, Weidong Zhou, Yue Hu, Shun Tong
semanticscholar +1 more source
Kernel Least Mean Square With Maximum Correntropy Criterion
2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS), 2022Yawen Li 0001 +3 more
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IEEE International Conference on Systems, Man and Cybernetics
Brain-Machine Interface (BMI) assists paralyzed patients in restoring motor functions by controlling neuroprosthetic devices through intentions captured from brain activities. Traditional neural signal decoding algorithms typically rely on Gaussian noise
Yuxuan Cai, Xi Liu
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Brain-Machine Interface (BMI) assists paralyzed patients in restoring motor functions by controlling neuroprosthetic devices through intentions captured from brain activities. Traditional neural signal decoding algorithms typically rely on Gaussian noise
Yuxuan Cai, Xi Liu
semanticscholar +1 more source
Adaptive Convex Combination of Kernel Maximum Correntropy Criterion
2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP), 2022Long Shi, Yunchen Yang
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