Journal ArticleDOI
Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion
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TLDR
This letter will study the problem of too little attention paid to the convergence issue of the fixed-point MCC algorithms and give a sufficient condition to guarantee the convergence of a fixed- point MCC algorithm.Abstract:
The maximum correntropy criterion (MCC) has received increasing attention in signal processing and machine learning due to its robustness against outliers (or impulsive noises). Some gradient based adaptive filtering algorithms under MCC have been developed and available for practical use. The fixed-point algorithms under MCC are, however, seldom studied. In particular, too little attention has been paid to the convergence issue of the fixed-point MCC algorithms. In this letter, we will study this problem and give a sufficient condition to guarantee the convergence of a fixed-point MCC algorithm.read more
Citations
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Journal ArticleDOI
Maximum correntropy Kalman filter
TL;DR: In this article, the robust maximum correntropy criterion (MCC) was adopted as the optimality criterion instead of using the minimum mean square error (MMSE) criterion, which is optimal under Gaussian assumption.
Journal ArticleDOI
A Novel Robust Student's t -Based Kalman Filter
TL;DR: A novel robust Student's t-based Kalman filter is proposed by using the variational Bayesian approach, which provides a Gaussian approximation to the posterior distribution.
Posted Content
Maximum Correntropy Kalman Filter
TL;DR: In this paper, the robust maximum correntropy criterion (MCC) was adopted as the optimality criterion instead of using the minimum mean square error (MMSE) criterion, which is optimal under Gaussian assumption.
Book
Fixed Point Theory and Applications
TL;DR: Hadic and Pap as discussed by the authors discussed the convergence of Newton's method under unified conditions and the existence and non-existence of approximate fixed points in Generalized Convex Spaces (GCS).
Journal ArticleDOI
Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering
TL;DR: Compared with correntropy, the KRSL can offer a more efficient performance surface, thereby enabling a gradient-based method to achieve faster convergence speed and higher accuracy while still maintaining the robustness to outliers.
References
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An introduction to millimeter-wave mobile broadband systems
Zhouyue Pi,Farooq Khan +1 more
TL;DR: This article introduces a millimeter-wave mobile broadband (MMB) system as a candidate next generation mobile communication system and demonstrates the feasibility for MMB to achieve gigabit-per-second data rates at a distance up to 1 km in an urban mobile environment.
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Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges
TL;DR: Measurements and capacity studies are surveyed to assess mmW technology with a focus on small cell deployments in urban environments and it is shown that mmW systems can offer more than an order of magnitude increase in capacity over current state-of-the-art 4G cellular networks at current cell densities.
Journal ArticleDOI
Cellular architecture and key technologies for 5G wireless communication networks
Cheng-Xiang Wang,Fourat Haider,Xiqi Gao,Xiaohu You,Yang Yang,Dongfeng Yuan,Hadi M. Aggoune,Harald Haas,Simon Fletcher,Erol Hepsaydir +9 more
TL;DR: A potential cellular architecture that separates indoor and outdoor scenarios is proposed, and various promising technologies for 5G wireless communication systems, such as massive MIMO, energy-efficient communications, cognitive radio networks, and visible light communications are discussed.
Business Process Execution Language for Web Services Version 1.1
TL;DR: The BPEL4WS specification defines an interoperable integration model that should facilitate the expansion of automated process integration in both the intracorporate and the business-to-business spaces.
Journal ArticleDOI
Correntropy: Properties and Applications in Non-Gaussian Signal Processing
TL;DR: This paper elucidate further the probabilistic and geometric meaning of the recently defined correntropy function as a localized similarity measure and a close relationship between corrent entropy and M-estimation is established.