Frequency domain maximum correntropy criterion spline adaptive filtering [PDF]
Scientific Reports, 2021 A filtering algorithm based on frequency domain spline type, frequency domain spline adaptive filters (FDSAF), effectively reducing the computational complexity of the filter.
Wenyan Guo, Yongfeng Zhi, Kai Feng
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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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2D and 3D Angles-Only Target Tracking Based on Maximum Correntropy Kalman Filters [PDF]
Sensors, 2022 In this paper, angles-only target tracking (AoT) problem is investigated in the non Gaussian environment. Since the conventional minimum mean square error criterion based estimators tend to give poor accuracy in the presence of large outliers or ...
Asfia Urooj +3 more
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A Robust GPS Navigation Filter Based on Maximum Correntropy Criterion with Adaptive Kernel Bandwidth [PDF]
Sensors, 2023 Multiple forms of interference and noise that impact the receiver’s capacity to receive and interpret satellite signals, and consequently the preciseness of positioning and navigation, may be present during the processing of Global Positioning System ...
Dah-Jing Jwo +3 more
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Application of Adaptive Robust Kalman Filter Base on MCC for SINS/GPS Integrated Navigation [PDF]
Sensors, 2023 In this paper, an adaptive and robust Kalman filter algorithm based on the maximum correntropy criterion (MCC) is proposed to solve the problem of integrated navigation accuracy reduction, which is caused by the non-Gaussian noise and time-varying noise ...
Linfeng Li +3 more
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A Robust Adaptive Filter for a Complex Hammerstein System [PDF]
Entropy, 2019 The Hammerstein adaptive filter using maximum correntropy criterion (MCC) has been shown to be more robust to outliers than the ones using the traditional mean square error (MSE) criterion. As there is no report on the robust Hammerstein adaptive filters
Guobing Qian, Dan Luo, Shiyuan Wang
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Online Gradient Descent for Kernel-Based Maximum Correntropy Criterion [PDF]
Entropy, 2019 In the framework of statistical learning, we study the online gradient descent algorithm generated by the correntropy-induced losses in Reproducing kernel Hilbert spaces (RKHS).
Baobin Wang, Ting Hu
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A Correntropy-Based Proportionate Affine Projection Algorithm for Estimating Sparse Channels with Impulsive Noise [PDF]
Entropy, 2019 A novel robust proportionate affine projection (AP) algorithm is devised for estimating sparse channels, which often occur in network echo and wireless communication channels.
Zhengxiong Jiang +2 more
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Maximum Correntropy Criterion Kalman/Allan Variance-Assisted FIR Integrated Filter for Indoor Localization [PDF]
MicromachinesTo obtain more accurate information on using an inertial navigation system (INS)-based integrated localization system, an integrated filter with maximum correntropy criterion Kalman filter (mccKF) and finite impulse response (FIR) is proposed for the ...
Manman Li +4 more
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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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