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Proper generalized decomposition of multiscale models [PDF]
International Journal for Numerical Methods in Engineering, 2010 AbstractIn this paper the coupling of a parabolic model with a system of local kinetic equations is analyzed. A space–time separated representation is proposed for the global model (this is simply the radial approximation proposed by Pierre Ladeveze in the LATIN framework (Non‐linear Computational Structural Mechanics. Springer: New York, 1999)).
Chinesta, Francisco +2 more
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A Bayesian Residual Transform for Signal Processing
IEEE Access, 2015 Multiscale decomposition has been an invaluable tool for the processing of physiological signals. Much focus on multiscale decomposition for processing such signals have been based on scale-space theory and wavelet transforms.
Alexander Wong, Xiao Yu Wang
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Measuring center of pressure signals to quantify human balance using multivariate multiscale entropy by designing a force platform [PDF]
, 2013 Copyright © 2013 by the authors. To assess the improvement of human body balance, a low cost and portable measuring device of center of pressure (COP), known as center of pressure and complexity monitoring system (CPCMS), has been developed for data ...
Huang, C-W +14 more
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Forecasting Energy Value at Risk Using Multiscale Dependence Based Methodology
Entropy, 2016 In this paper, we propose a multiscale dependence-based methodology to analyze the dependence structure and to estimate the downside portfolio risk measures in the energy markets.
Kaijian He +3 more
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Contrast-Independent, Partially-Explicit Time Discretizations for Nonlinear Multiscale Problems
Mathematics, 2021 This work continues a line of work on developing partially explicit methods for multiscale problems. In our previous works, we considered linear multiscale problems where the spatial heterogeneities are at the subgrid level and are not resolved. In these
Eric T. Chung +3 more
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Sensors, 2021 We propose a novel fault-diagnosis approach for rolling bearings by integrating variational mode decomposition (VMD), refined composite multiscale dispersion entropy (RCMDE), and support vector machine (SVM) optimized by a sparrow search algorithm (SSA).
Jie Lv +3 more
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A Time Multiscale Decomposition in Cyclic Elasto-Plasticity
Computers & Mathematics with Applications, 2023 For the numerical simulation of time-dependent problems, recent works suggest the use of a time marching scheme based on a tensorial decomposition of the time axis. This time-separated representation is straightforwardly introduced in the framework of the Proper Generalized Decomposition (PGD).
Pasquale, Angelo +4 more
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Gearbox Fault Diagnosis Using Multiscale Sparse Frequency-Frequency Distributions
IEEE Access, 2021 Gear fault related information is distributed over a broad frequency band, indicating a complex modulation mechanism. It is difficult to detect early-stage gear faults accurately by detecting fault frequencies in a limited frequency band.
Luke Zhang +7 more
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Multiscale mass conservative domain decomposition preconditioners for elliptic problems on irregular grids [PDF]
, 2011 Multiscale methods can in many cases be viewed as special types of domain decomposition preconditioners. The localisation approximations introduced within the multiscale framework are dependent upon both the heterogeneity of the reservoir and the ...
Jan Martin Nordbotten +5 more
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Parameter‐adaptive nighttime image enhancement with multi‐scale decomposition
IET Computer Vision, 2016 As a challenging problem, image enhancement plays an important role in computer vision applications and has been widely studied. As one of the most difficult issues of image enhancement, outdoor nighttime image enhancement suffers from noise ...
Shuhang Wang, Jin Zheng, Bo Li
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