Results 1 to 10 of about 1,379,599 (244)

Spectral decomposition with monotonic spectral resolvents [PDF]

open access: yesTransactions of the American Mathematical Society, 1983
The spectral decomposition problem of a Banach space over the complex field entails two kinds of constructive elements: (1) the open sets of the field and (2) the invariant subspaces (under a given linear operator) of the Banach space. The correlation between these two structures, in the framework of a spectral decomposition, is the spectral resolvent ...
Erdelyi, Ivan, Wang, Shengwang
openaire   +2 more sources

Chordal decomposition for spectral coarsening [PDF]

open access: yesACM Transactions on Graphics, 2020
We introduce a novel solver to significantly reduce the size of a geometric operator while preserving its spectral properties at the lowest frequencies. We use chordal decomposition to formulate a convex optimization problem which allows the user to control the operator sparsity pattern.
David Levin   +2 more
exaly   +5 more sources

Spectral Tensor-Train Decomposition [PDF]

open access: yesSIAM Journal on Scientific Computing, 2016
The accurate approximation of high-dimensional functions is an essential task in uncertainty quantification and many other fields. We propose a new function approximation scheme based on a spectral extension of the tensor-train (TT) decomposition. We first define a functional version of the TT decomposition and analyze its properties. We obtain results
Daniele Bigoni   +2 more
openaire   +8 more sources

Use of spectral decomposition technique for delineation of channels at Solar gas discovery, offshore West Nile Delta, Egypt

open access: yesEgyptian Journal of Petroleum, 2016
This paper presents a case study of spectral decomposition of seismic data and how it aids in seismic data interpretation. It is also known as time–frequency analysis where non-stationary signals in time/space are from time/space domain to time/space vs.
Adel A.A. Othman, M. Fathy, Ali Maher
doaj   +3 more sources

Spectral Decomposition of X-ray Absorption Spectroscopy Datasets: Methods and Applications

open access: yesCrystals, 2020
X-ray absorption spectroscopy (XAS) today represents a widespread and powerful technique, able to monitor complex systems under in situ and operando conditions, while external variables, such us sampling time, sample temperature or even beam position ...
Andrea Martini, Elisa Borfecchia
doaj   +3 more sources

Color Restoration of RGBN Multispectral Filter Array Sensor Images Based on Spectral Decomposition

open access: yesSensors, 2016
A multispectral filter array (MSFA) image sensor with red, green, blue and near-infrared (NIR) filters is useful for various imaging applications with the advantages that it obtains color information and NIR information simultaneously.
Chulhee Park, Moon Gi Kang
doaj   +3 more sources

Multilevel Spectral Domain Decomposition [PDF]

open access: yesSIAM Journal on Scientific Computing, 2022
25 ...
Peter Bastian   +3 more
openaire   +3 more sources

3D structural modelling and spectral decomposition analysis of Jay Field offshore Niger Delta, Nigeria

open access: yesJournal of Engineering and Applied Science, 2022
In the Niger Delta, the Jay Field offshore structural model and seismic attribute analysis were carried out to enhance prospect evaluation and mitigate risk in field development operations, especially in regions with few wells and poor seismic data ...
Rotimi P. Akinwale   +2 more
doaj   +1 more source

Linking the Spectra of Decomposing Litter to Ecosystem Processes: Tandem Close-Range Hyperspectral Imagery and Decomposition Metrics

open access: yesRemote Sensing, 2022
Efforts to monitor terrestrial decomposition dynamics at broad spatial scales are hampered by the lack of a cost-effective and scalable means to track the decomposition process.
Cameron Proctor   +4 more
doaj   +1 more source

Visualization and selection of Dynamic Mode Decomposition components for unsteady flow

open access: yesVisual Informatics, 2021
Dynamic Mode Decomposition (DMD) is a data-driven and model-free decomposition technique. It is suitable for revealing spatio-temporal features of both numerically and experimentally acquired data.
T. Krake   +4 more
doaj   +1 more source

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