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09/09/2023
Generalized Minimum Error with Fiducial Points Criterion for Robust Learning
The conventional Minimum Error Entropy criterion (MEE) has its limitatio...
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11/07/2022
Robust Total Least Mean M-Estimate normalized subband filter Adaptive Algorithm for impulse noises and noisy inputs
When the input signal is correlated input signals, and the input and out...
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03/23/2017
Robustness of Maximum Correntropy Estimation Against Large Outliers
The maximum correntropy criterion (MCC) has recently been successfully a...
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08/01/2016
Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering
Nonlinear similarity measures defined in kernel space, such as correntro...
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12/16/2015
Two improved normalized subband adaptive filter algorithms with good robustness against impulsive interferences
To improve the robustness of subband adaptive filter (SAF) against impul...
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09/15/2015
Maximum Correntropy Kalman Filter
Traditional Kalman filter (KF) is derived under the well-known minimum m...
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08/08/2015
Diffusion Maximum Correntropy Criterion Algorithms for Robust Distributed Estimation
Robust diffusion adaptive estimation algorithms based on the maximum cor...
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04/12/2015
