Entropy, 2019 Rolling element bearings are widely used in various industrial machines. Fault diagnosis of rolling element bearings is a necessary tool to prevent any unexpected accidents and improve industrial efficiency.
Xuejun Zhao +4 more
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Complex Correntropy Applied to a Compressive Sensing Problem in an Impulsive Noise Environment
IEEE Access, 2019 Correntropy is a similarity function capable of extracting high-order statistical information from data. It has been used in different kinds of applications as a cost function to overcome traditional methods in non-Gaussian noise environments. One of the
Joao P. F. Guimaraes +4 more
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Generalized Complex Correntropy: Application to Adaptive Filtering of Complex Data
IEEE Access, 2018 Adaptive filtering for complex data has received more attentions recently. As a similarity measure for the complex random variables, complex correntropy has been shown robustness in the design of adaptive filter.
Guobing Qian, Shiyuan Wang
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Sensors, 2018 This paper considers the parameter estimation problem under non-stationary environments in sensor networks. The unknown parameter vector is considered to be a time-varying sequence.
Limei Hu +3 more
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Kernel Adaptive Filters With Feedback Based on Maximum Correntropy
IEEE Access, 2018 This paper presents novel kernel adaptive filters with feedback, namely, kernel recursive maximum correntropy with multiple feedback (KRMC-MF) and its simplified version, a linear recurrent kernel online learning algorithm based on maximum correntropy ...
Shiyuan Wang +4 more
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Fractional time delay estimation method based on the minimum CIM and the Farrow structure
Tongxin xuebao, 2015 A fractional time delay estimation algorithm is proposed which is based on the minimum CIM and the Farrow structure (referred to as MCIMFarrow).The proposed MCIMFarrow algorithm performs well in symmetric Alpha stable noise conditions.And it needs little
ULing Y, IUTian-shuang Q
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Regularized Maximum Correntropy Criterion Kalman Filter for Uncalibrated Visual Servoing in the Presence of Non-Gaussian Feature Tracking Noise. [PDF]
Sensors (Basel), 2023 Leite GR, Araújo ÍBQ, Martins AM.
europepmc +1 more source
A Robust GPS Navigation Filter Based on Maximum Correntropy Criterion with Adaptive Kernel Bandwidth. [PDF]
Sensors (Basel), 2023 Jwo DJ, Chen YL, Cho TS, Biswal A.
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Maximum correentropy-based robust Square-root Cubature Kalman Filter for vehicular cooperative navigation. [PDF]
Sci Rep, 2023 Sun W, Zhang X, Ding W, Zhang H, Liu A.
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Newton Recursion Based Random Data-Reusing Generalized Maximum Correntropy Criterion Adaptive Filtering Algorithm. [PDF]
Entropy (Basel), 2022 Zhao J, Mu Y, Qiao Y, Li Q.
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