A robust maximum correntropy forecasting model for time series with outliers [PDF]
PeerJ Computer Science, 2023 It is of great significance to develop a robust forecasting method for time series. The reliability and accuracy of the traditional model are reduced because the series is polluted by outliers.
Jing Ren, Wei-Qin Li
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Stochastic Gradient Descent for Kernel-Based Maximum Correntropy Criterion [PDF]
EntropyMaximum correntropy criterion (MCC) has been an important method in machine learning and signal processing communities since it was successfully applied in various non-Gaussian noise scenarios.
Tiankai Li +3 more
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Variational Bayesian-Based Improved Maximum Mixture Correntropy Kalman Filter for Non-Gaussian Noise
Entropy, 2022 The maximum correntropy Kalman filter (MCKF) is an effective algorithm that was proposed to solve the non-Gaussian filtering problem for linear systems.
Xuyou Li, Yanda Guo, Qingwen Meng
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Maximum Correntropy Criterion With Variable Center [PDF]
IEEE Signal Processing Letters, 2019 5 pages, 1 ...
Yingsong Li, JOSÉ Principe, Xin Wang
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Maximum Correntropy Unscented Kalman Filter for Ballistic Missile Navigation System based on SINS/CNS Deeply Integrated Mode [PDF]
Sensors, 2018 Strap-down inertial navigation system/celestial navigation system (SINS/CNS) integrated navigation is a high precision navigation technique for ballistic missiles. The traditional navigation method has a divergence in the position error.
Bowen Hou +4 more
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A Kernel-Width Adaption Diffusion Maximum Correntropy Algorithm [PDF]
IEEE Access, 2020 Impulsive noises are widely existing in various systems like noise cancellation system and wireless communication systems, where adaptive filtering (AF) is always employed to identify specific systems.
Ying Guo, Bing Ma, Yingsong Li
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Newtonian-Type Adaptive Filtering Based on the Maximum Correntropy Criterion [PDF]
Entropy, 2020 This paper provides a novel Newtonian-type optimization method for robust adaptive filtering inspired by information theory learning. With the traditional minimum mean square error (MMSE) criterion replaced by criteria like the maximum correntropy ...
Pengcheng Yue +3 more
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Maximum Correntropy Kalman Filter With State Constraints
IEEE Access, 2017 For linear systems, the original Kalman filter under the minimum mean square error (MMSE) criterion is an optimal filter under a Gaussian assumption. However, when the signals follow non-Gaussian distributions, the performance of this filter deteriorates
Xi Liu +4 more
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A Novel UWB Positioning Method Based on a Maximum-Correntropy Unscented Kalman Filter
Applied Sciences, 2022 Aiming at the problem of measurement-information abnormal-error and nonlinear filtering in UWB navigation and positioning, an ultra wideband position algorithm based on a maximum cross-correlation entropy unscented Kalman filter is proposed.
Mujie Zhao, Tao Zhang, Di Wang
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Diffusion Maximum Correntropy Criterion Based Robust Spectrum Sensing in Non-Gaussian Noise Environments [PDF]
Entropy, 2018 Spectrum sensing is the most important task in cognitive radio (CR). In this paper, a new robust distributed spectrum sensing approach, called diffusion maximum correntropy criterion (DMCC)-based robust spectrum sensing, is proposed for CR in the ...
Xiguang Xu +4 more
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