Results 71 to 80 of about 3,111 (174)
Correntropy: Implications of nonGaussianity for the moment expansion and deconvolution
, 2011 Accepted ...
A.T. Walden +24 more
core +1 more source
The Fast Correntropy Mace Filter [PDF]
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007 In this paper, we implement the newly introduced correntropy MACE filter using the fast Gauss transform (FGT). The correntropy MACE filter is a nonlinear extension to the MACE filter using the correntropy function in a feature space nonlinearly related to the input. The correntropy MACE outperforms the traditional linear MACE in both generalization and
Kyu-Hwa Jeong +2 more
openaire +1 more source
MPHLDAE‐1DCNN: A Novel Denoising Method for Improved Fault Diagnosis
International Journal of Rotating Machinery, Volume 2026, Issue 1, 2026.Fault diagnosis of rotating machines has undergone significant advancements through the use of deep learning models. However, the effectiveness of these models is often compromised by noisy raw vibration data collected from industrial machines, which can negatively impact accuracy rates. To address this challenge, we present an improved fault diagnosis
Fasikaw Kibrete +3 more
wiley +1 more source
Correntropy-Based Constructive One Hidden Layer Neural Network
AlgorithmsOne of the main disadvantages of the traditional mean square error (MSE)-based constructive networks is their poor performance in the presence of non-Gaussian noises.
Mojtaba Nayyeri +5 more
doaj +1 more source
An Examination of Some Signi cant Approaches to Statistical Deconvolution
, 2011 We examine statistical approaches to two significant areas of deconvolution - Blind Deconvolution (BD) and Robust Deconvolution (RD) for stochastic stationary signals.
Yang, Zi Hua, Yang, Zi Hua
core +1 more source
Engineering Reports, Volume 7, Issue 7, July 2025.This paper presents a transfer learning‐based domain‐adaptive one‐dimensional convolutional neural network (1‐D CNN) designed to enhance fault diagnosis generalization across varying working conditions and improve adaptability for different types of rotating machines.
Fasikaw Kibrete +2 more
wiley +1 more source
Engineering Reports, Volume 7, Issue 1, January 2025.Simulation model of proposed system. ABSTRACT The increasing global energy demand driven by climate change, technological advancements, and population growth necessitates the development of sustainable solutions. This research investigates the design, modeling, and simulation of a 2.5 MW solar‐wind hybrid renewable energy system (SWH‐RES) optimized for
F. Max Savio +5 more
wiley +1 more source
IET Control Theory &Applications, Volume 19, Issue 1, January/December 2025.This work addresses the issue of rejection delay due to DoS attacks triggered by historical measurements during the transmission of a large amount of measurement data in WECS‐based networked microgrids. We propose a novel robust SRCKF method, designated as MCC‐SRCKF, which incorporates MCC into the SRCKF structure of DSE.
Xiao Hu +4 more
wiley +1 more source
KLMS‐Net: Deep unrolling for kernel least mean square algorithm
Electronics Letters, Volume 61, Issue 1, January/December 2025.This letter proposes a novel network framework based on the deep unrolling of kernel least mean square (KLMS‐Net). KLMS‐Net transforms the iterative process of KLMS into the forward propagation of deep neural networks, which learn the implicit feature mappings in a model‐driven manner, providing deep neural networks with explicit interpretability ...
Yu Tang +5 more
wiley +1 more source
Video Synchronization With Bit-Rate Signals and Correntropy Function
Sensors, 2017 We propose an approach for the synchronization of video streams using correntropy. Essentially, the time offset is calculated on the basis of the instantaneous transfer rates of the video streams that are extracted in the form of a univariate signal ...
Igor Pereira +2 more
doaj +1 more source