Adaptive identification under the maximum correntropy criterion with variable center
Радіоелектронні і комп'ютерні системи, 2022 The problem of identifying the parameters of a linear object in the presence of non-Gaussian noise is considered. The identification algorithm is a gradient procedure for maximizing the functional, which is a correntropy. This functionality allows you to
Oleg Rudenko, Oleksandr Bezsonov
doaj +1 more source
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
doaj +1 more source
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 +1 more source
Generalized Asymmetric Correntropy for Robust Adaptive Filtering: A Theoretical and Simulation Study
Remote Sensing, 2022 Correntropy has been proved to be effective in eliminating the adverse effects of impulsive noises in adaptive filtering. However, correntropy is not desirable when the error between the two random variables is asymmetrically distributed around zero.
Hua Qu +5 more
doaj +1 more source
Entropy Projection Curved Gabor with Random Forest and SVM for Face Recognition [PDF]
, 2019 In this work, we propose a workflow for face recognition under occlusion using the entropy projection from the curved Gabor filter, and create a representative and compact features vector that describes a face.
AS Georghiades +20 more
core +1 more source
Diffusion maximum correntropy criterion algorithms for robust distributed estimation [PDF]
Digital Signal Processing, 2016 17 pages,10 ...
Wentao Ma +3 more
openaire +2 more sources
智能科学与技术学报, 2021 A method which utilizes maximum correntropy criterion and locality information called collaborative representation based classifier with maximum correntropy criterion and locality constraint (CRC/MCCLC) was proposed.On the one hand, CRC/MCCLC was not ...
Qinru YU, Guifu LU
doaj
Tracking analysis of minimum kernel risk-sensitive loss algorithm under general non-Gaussian noise [PDF]
, 2018 In this paper the steady-state tracking performance of minimum kernel risk-sensitive loss (MKRSL) in a non-stationary environment is analyzed. In order to model a non-stationary environment, a first-order random-walk model is used to describe the ...
Bazzi, WM +4 more
core +1 more source
Multi-convex combined filter based on maximum correntropy criterion
Dianzi Jishu Yingyong, 2018 Correntropy based algorithms are widely used in non-Gaussian signal processing, but they also suffer from the conflict between the step size and the misadjustment.
Wu Wenjing +3 more
doaj +1 more source
Density Preserving Sampling: Robust and Efficient Alternative to Cross-validation for Error Estimation [PDF]
, 2013 Estimation of the generalization ability of a classi- fication or regression model is an important issue, as it indicates the expected performance on previously unseen data and is also used for model selection.
Budka, Marcin, Gabrys, Bogdan
core +1 more source