Results 11 to 20 of about 194 (121)

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, Shulin Tian, Huiqing Pan, Qinchuan Zhang, Duyu Qiu, Yi Zhou   +5 more
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, Xinyu Wen, Yanpeng Wang, Yiming Shao   +3 more
doaj   +2 more sources

Multicriteria Learning: Combining Minimum Mean Square Error, Minimum Error Entropy, and Maximum Correntropy in the Presence of Gaussian and Non-Gaussian Noises

IET Signal Processing
Understanding natural phenomena relies heavily on learning criteria aimed at minimizing model errors and enhancing fidelity to real-world conditions.
Fatemeh Mohamaddust, Saeid Pakravan, Ghosheh Abed Hodtani   +2 more
doaj   +2 more sources

Student’s t-Kernel-Based Graph Signals Maximum Correntropy Unscented Kalman Filter Under Hybrid Cyberattacks

IET Signal Processing
The implementation of Kalman filter (KF) in tracking high-dimensional, strongly correlated graph structured data is often complex and unstable. Meanwhile, in practical applications, the system may be subject to interference from non-Gaussian noise and ...
Bingyu Yin, Xinmin Song
doaj   +2 more sources

Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion. [PDF]

PLoS ONE, 2018
This paper presents a robust 3D point cloud registration algorithm based on bidirectional Maximum Correntropy Criterion (MCC). Comparing with traditional registration algorithm based on the mean square error (MSE), using the MCC is superior in dealing ...
Xuetao Zhang, Libo Jian, Meifeng Xu
doaj   +2 more sources

Enhanced GNSS Navigation Using a Centered Error Entropy Extended Kalman Filter in Non-Gaussian Noise Environments [PDF]

Sensors
Global Navigation Satellite Systems (GNSSs) observables, such as those of the Global Positioning System (GPS), are frequently affected by multipath effects that cause unpredictable signal interference at the receiver, posing significant challenges for ...
Yi Chang, Dah-Jing Jwo, Bo-Yang Lee
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 Res
ABSTRACT 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, Li CX, Xue R, Cong ZX, Bian Y, Liu Y.   +5 more
europepmc   +2 more sources

CUL3 and COPS5 Related to the Ubiquitin-Proteasome Pathway Are Potential Genes for Muscle Atrophy in Mice. [PDF]

Evid Based Complement Alternat Med, 2022
Sarcopenia is a condition that reduces muscle mass and exercise capacity. Muscle atrophy is a common manifestation of sarcopenia and can increase morbidity and mortality in specific patient populations. The aim of this study was to identify novel prognostic biomarkers for muscle atrophy and associated pathway analysis using bioinformatics methods.
Xu Q, Li J, Yang J, Xu Z.
europepmc   +2 more sources

An adaptive kernel width convex combination method for maximum correntropy criterion

Journal of the Brazilian Computer Society, 2021
Recently, the maximum correntropy criterion (MCC) has been successfully applied in numerous applications regarding nonGaussian data processing. MCC employs a free parameter called kernel width, which affects the convergence rate, robustness, and steady ...
Aluisio I. R. Fontes, Leandro L. S. Linhares, João P. F. Guimarães, Luiz F. Q. Silveira, Allan M. Martins   +4 more
doaj   +1 more source

Improved Robust High-Degree Cubature Kalman Filter Based on Novel Cubature Formula and Maximum Correntropy Criterion with Application to Surface Target Tracking

Journal of Marine Science and Engineering, 2022
Robust nonlinear filtering is an important method for tracking maneuvering targets in non-Gaussian noise environments. Although there are many robust filters for nonlinear systems, few of them have ideal performance for mixed Gaussian noise and non ...
Tianjing Wang, Lanyong Zhang, Sheng Liu
doaj   +1 more source