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
doaj +5 more sources
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
doaj +3 more sources
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
doaj +3 more sources
Adaptive blind equalization for multi‐level QAM signals in impulsive noise environment
IET Communications, 2022 A maximum correntropy criterion‐blind clustering multi‐modulus algorithm (MCC‐BCMMA) is proposed to equalize multi‐level quadrature amplitude modulation (QAM) channels in impulsive noise environment.
Yijiao Zhang +5 more
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
Overexpression of miR-516a-5p Promotes Erosive Oral Lichen Planus: In Vitro Study Based on Bioinformatics Analyses. [PDF]
Clin Exp Dent ResABSTRACT Objectives This study aimed to investigate the differentially expressed microRNAs in erosive oral lichen planus, followed by analyzing how the overexpression of identified miR‐516a‐5p influences human oral mucosal fibroblasts. Material and Methods High‐throughput sequencing using tissues from patients and healthy individuals identified varying
Chen Y +5 more
europepmc +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
A novel hybrid model of ARIMA‐MCC and CKDE‐GARCH for urban short‐term traffic flow prediction
IET Intelligent Transport Systems, 2022 The linearity and heteroscedasticity are the important characteristics of short‐term traffic flow data. Generally, the autoregressive integrated moving average (ARIMA) model and the generalized autoregressive conditional heteroscedasticity (GARCH) model ...
Leina Zhao +3 more
doaj +2 more sources