Results 31 to 40 of about 910,199 (344)

Proper Generalized Decomposition method for incompressible Navier–Stokes equations with a spectral discretization [PDF]

open access: yes, 2013
http://dx.doi.org/10.1016/j.amc.2013.02.022Proper Generalized Decomposition (PGD) is a method which consists in looking for the solution to a problem in a separate form.
ALLERY, Cyrille   +2 more
core   +1 more source

Improving subband spectral estimation using modified AR model [PDF]

open access: yes, 2007
It has already been shown that spectral estimation can be improved when applied to subband outputs of an adapted filterbank rather than to the original fullband signal.
Bonacci, David, Mailhes, Corinne
core   +1 more source

Deterministic numerical solutions of the Boltzmann equation using the fast spectral method [PDF]

open access: yes, 2013
The Boltzmann equation describes the dynamics of rarefied gas flows, but the multidimensional nature of its collision operator poses a real challenge for its numerical solution. In this paper, the fast spectral method [36], originally developed by Mouhot
Reese, Jason M.   +6 more
core   +1 more source

Gappy spectral proper orthogonal decomposition [PDF]

open access: yesJournal of Computational Physics, 2022
Experimental spatio-temporal flow data often contain gaps or other types of undesired artifacts. To reconstruct flow data in the compromised or missing regions, a data completion method based on spectral proper orthogonal decomposition (SPOD) is ...
A. Nekkanti, O. Schmidt
semanticscholar   +1 more source

A flexible spectral modification method based on temporal decomposition and Gaussian mixture model [PDF]

open access: yes, 2009
Manipulating spectral structure often leads to degradation of speech quality, which is mainly due to insufficient smoothness of the modified spectra between frames, and ineffective spectralmodification.
Masato Akagi   +3 more
core   +1 more source

Spectral decomposition for graded multi-scale topology optimization

open access: yes, 2021
Multi-scale topology optimization (MTO) is exploited today in applications that require designs with large surface-to-volume ratio. Further, with the advent of additive manufacturing, MTO has gained significant prominence.
T. Kumar   +3 more
semanticscholar   +1 more source

Hyperspectral Compressive Image Reconstruction With Deep Tucker Decomposition and Spatial–Spectral Learning Network

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Hyperspectral compressive imaging has taken advantage of compressive sensing theory to capture spectral information of the dynamic world in recent decades of years, where an optical encoder is employed to compress high dimensional signals into a single 2-
Hao Xiang   +6 more
doaj   +1 more source

Hyperspectral and Multispectral Image Fusion Using Coupled Non-Negative Tucker Tensor Decomposition

open access: yesRemote Sensing, 2021
Fusing a low spatial resolution hyperspectral image (HSI) with a high spatial resolution multispectral image (MSI), aiming to produce a super-resolution hyperspectral image, has recently attracted increasing research interest.
Marzieh Zare   +3 more
doaj   +1 more source

Space–time proper generalized decompositions for the resolution of transient elastodynamic models [PDF]

open access: yes, 2013
In this paper, we investigate ability of proper generalized decomposition (PGD) to solve transient elastodynamic models in space–time domain. Classical methods use time integration schemes and an incremental resolution process.
BOUCINHA, Lucas   +2 more
core   +1 more source

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