Results 11 to 20 of about 8,931 (261)
A Multiscale Topographical Analysis Based on Morphological Information: The HEVC Multiscale Decomposition. [PDF]
In this paper, we evaluate the effect of scale analysis as well as the filtering process on the performances of an original compressed-domain classifier in the field of material surface topographies classification. Each surface profile is multiscale analyzed by using a Gaussian Filter analyzing method to be decomposed into three multiscale filtered ...
Eseholi T +4 more
europepmc +5 more sources
Hybrid Localized Spectral Decomposition for Multiscale Problems [PDF]
We consider a finite element method for elliptic equation with heterogeneous and possibly high-contrast coefficients based on primal hybrid formulation. A space decomposition as in FETI and BDCC allows a sequential computations of the unknowns through elliptic problems and satisfies equilibrium constraints.
Alexandre L. Madureira, Marcus Sarkis
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Domain decomposition for multiscale PDEs [PDF]
The authors consider additive Schwarz domain decomposition preconditioners for piecewise linear finite element approximations of elliptic partial differential equations with highly variable coefficients. These preconditioners combine local solvers on general overlapping subdomains together with a global solver on a general coarse space of functions on ...
Ivan G. Graham +2 more
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Multiscale Decompositions of Hardy Spaces
An inspiration at the origin of wavelet analysis (when Grossmann, Morlet, Meyer and collaborators were interacting and exploring versions of multiscale representations) was provided by the analysis of holomorphic signals, for which the images of the phase of Cauchy wavelets were remarkable in their ability to reveal intricate singularities or dynamic ...
Coifman, Ronald R., Peyrière, Jacques
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Proper generalized decomposition of multiscale models [PDF]
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
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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Gearbox Fault Diagnosis Using Multiscale Sparse Frequency-Frequency Distributions
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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Forecasting Energy Value at Risk Using Multiscale Dependence Based Methodology
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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A Time Multiscale Decomposition in Cyclic Elasto-Plasticity
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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The early fault diagnosis of rolling bearings has always been a difficult problem due to the interference of strong noise. This paper proposes a new method of early fault diagnosis for rolling bearings with entropy participation.
Jianpeng Ma +4 more
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