A group-constrained maximum correntropy criterion (GC-MCC) algorithm is proposed on the basis of the compressive sensing (CS) concept and zero attracting (ZA) techniques and its estimating behavior is verified over sparse multi-path channels. The proposed algorithm is implemented by exerting different norm penalties on the two grouped channel coefficients to improve the channel estimation perfo...

Development of accurate data-driven quality prediction models for industrial blast furnaces encounters several challenges mainly because the collected data are nonlinear, non-Gaussian, and uneven distributed. A just-in-time correntropy-based local soft sensing approach is presented to predict the silicon content in this work. Without cumbersome efforts for outlier detection, a correntropy suppo...

The Direction of Arrival (DOA) estimation under impulsive noise environments remains open in the field of array signal processing. Inspired by the advantage of correntropy which exhibits a ‘robust statistics’ property, this paper proposes a new operator, namely, the correntropy based correlation (CRCO), for independent and identically distributed (i.i.d) symmetric alpha-stable ðSαSÞ random vari...

Proportionate type adaptive filtering (PtAF) algorithms have been successfully applied for sparse system identification. The major drawback of the traditional PtAF based on the mean square error (MSE) criterion is poor robustness in the presence of abrupt changes because the MSE is valid and rational under Gaussian assumption. However, this assumption is not satisfied in most real-world applica...

An improved proportionate adaptive filter based on the Maximum Correntropy Criterion (IP-MCC) is proposed for identifying the system with variable sparsity in an impulsive noise environment. Utilization of MCC mitigates the effect of impulse noise while the improved proportionate concepts exploit the underlying system sparsity to improve the convergence rate. Performance analysis of the propose...

This paper studies the matrix completion problems when the entries are contaminated by non-Gaussian noise or outliers. The proposed approach employs a nonconvex loss function induced by the maximum correntropy criterion. With the help of this loss function, we develop a rank constrained, as well as a nuclear norm regularized model, which is resistant to non-Gaussian noise and outliers. However,...

Correntropy Induced Joint Power and Admission Control Algorithm for Dense Small Cell Network Zhirong Luan, Hua Qu, Jihong Zhao, Badong Chen, Jose. C. Principe School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049, P.R.China. Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL. 3...

The model of bearings-only tracking is generally described by discrete–discrete filtering systems. Discrete robust methods are also frequently used to address measurement uncertainty problems in tracking. recently popular continuous–discrete system considers the state target be continuous time, and more suitable for because its higher mathematical solution accuracy. However, sufficient evaluati...

Excessive daytime sleepiness (EDS) is one of the main symptoms of several sleep related disorders and has a great impact on patients' lives. While many studies have been carried out in order to assess daytime sleepiness, automatic EDS detection still remains an open problem. In this work, a novel approach to this issue based on correntropy function analysis of EEG signals was proposed in order ...