Complex Correntropy: Probabilistic Interpretation and Optimization
arXiv admin note: substantial text overlap with arXiv:1606 ...
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Robust Hyperspectral Unmixing With Correntropy-Based Metric
Hyperspectral unmixing is one of the crucial steps for many hyperspectral applications. The problem of hyperspectral unmixing has proven to be a difficult task in unsupervised work settings where the endmembers and abundances are both unknown. What is more, this task becomes more challenging in the case that the spectral bands are degraded with noise ...
Ying Wang 0008 +3 more
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Active noise control (ANC) in real-world acoustic environments frequently faces impulsive and heavy-tailed noise disturbances, which degrade the performance significantly and lead to slow convergence.
Pushpraj Tanwar +2 more
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Fractional time delay estimation method based on the minimum CIM and the Farrow structure
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
doaj
Regularized Maximum Correntropy Criterion Kalman Filter for Uncalibrated Visual Servoing in the Presence of Non-Gaussian Feature Tracking Noise. [PDF]
Leite GR, Araújo ÍBQ, Martins AM.
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A Robust GPS Navigation Filter Based on Maximum Correntropy Criterion with Adaptive Kernel Bandwidth. [PDF]
Jwo DJ, Chen YL, Cho TS, Biswal A.
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Partial maximum correntropy regression for robust electrocorticography decoding. [PDF]
Li Y +4 more
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Quaternion Maximum Versoria Criterion Algorithm for Channel Estimation Under Non-Gaussian Noise
Quaternion adaptive filtering algorithms have emerged as promising candidate for addressing system identification and channel estimation problem for 4D signals.
Shivam Yadav +6 more
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Maximum correentropy-based robust Square-root Cubature Kalman Filter for vehicular cooperative navigation. [PDF]
Sun W, Zhang X, Ding W, Zhang H, Liu A.
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A robust maximum correntropy forecasting model for time series with outliers. [PDF]
Ren J, Li WQ.
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