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Elsevier电子期刊(193)

在“Elsevier电子期刊”中，命中：193条，耗时：0.0609696 秒

在所有数据库中总计命中：196条

1.An efficient stochastic framework to propagate the effect of the random solid-pore geometry of porous media on the pore-scale flow

作者：Santhosh Jude Joseph Ilango ^{santhoshjudeilango@gmail.com} ; Sunetra Sarkar ; ^{sunetra.sarkar@gmail.com} ; ^{sunetra@iitm.ac.in}

关键词：Reconstructed porous media ; Monte-Carlo simulation ; Karhunen&ndash ; Lò ; eve expansion ; Pearson type VII PDF&rsquos ; Permeability

刊名：Computer Methods in Applied Mechanics and Engineering

出版年：2017

2.Graph theoretical methods for efficient stochastic finite element analysis of structures

作者：P. Zakian^a ; N. Khaji^a ; ^{nkhaji@modares.ac.ir" class="auth_mail" title="E-mail the corresponding author} ; A. Kaveh^b

关键词：Stochastic Spectral Finite Element Method (StSFEM) ; Karhunen&ndash ; Loè ; ve Expansion (KLE) ; Polynomial Chaos Expansion (PCE) ; Swift analysis ; Graph theory ; Regular domains

刊名：Computers & Structures

出版年：2017

3.HyperCast: Hyperspectral satellite image broadcasting with band ordering optimization

作者：Ahmed Hagag^a ; ^b ; ^{ahagag88@gmail.com}Author Vitae ; Xiaopeng Fan^a ; ^{fxp@hit.edu.cn}Author Vitae ; Fathi E. Abd El-Samie^c ; ^{fathi_sayed@yahoo.com}Author Vitae

关键词：Hyperspectral satellite images ; Image broadcasting ; Karhunen-Loè ; ve Transform (KLT) ; Hyperspectral band ordering ; SoftCast ; LineCast ; Wireless communications

刊名：Journal of Visual Communication and Image Representation

出版年：2017

4.Numerical solution of the homogeneous Neumann boundary value problem on domains with a thin layer of random thickness

作者：M. Dambrine^a ; ^{marc.dambrine@univ-pau.fr} ; I. Greff^a ; ^{isabelle.greff@univ-pau.fr} ; H. Harbrecht^b ; ^{helmut.harbrecht@unibas.ch} ; B. Puig^a ; ^{benedicte.puig@univ-pau.fr}

关键词：Thin layer equation ; Boundary value problem ; Random domain

刊名：Journal of Computational Physics

出版年：2017

5.A note on Karhunen-Loève expansions for the demeaned stationary Ornstein-Uhlenbeck process

作者：Xiaohui Ai ^{aixiaohui2006@gmail.com" class="auth_mail" title="E-mail the corresponding author}

关键词：Demeaned stationary Ornstein&ndash ; Uhlenbeck process ; Karhunen&ndash ; Loè ; ve expansion ; Laplace transform ; Small deviation

刊名：Statistics & Probability Letters

出版年：2016

6.Bayesian estimation of Karhunen-Loève expansions; A random subspace approach

作者：Kenny Chowdhary ; ^{kchowdh@sandia.gov" class="auth_mail" title="E-mail the corresponding author} ; Habib N. Najm ^{hnnajm@sandia.gov" class="auth_mail" title="E-mail the corresponding author}

关键词：Karhunen&ndash ; Loè ; ve expansion ; Principal Component Analysis ; Uncertainty quantification ; Bayesian inference ; Matrix Bingham density ; Gibbs sampling ; Markov chain Monte Carlo

刊名：Journal of Computational Physics

出版年：2016

7.A biorthogonal wavelet design technique using Karhunen-Loéve transform approximation

作者：Mehmet Cemil Kale^a ; ^{mckale@gmail.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Gizem Atac^b ; ^{gzm.atac@gmail.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Ö ; mer Nezih Gerek^b ; ^{ongerek@anadolu.edu.tr" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Wavelet design ; Biorthogonal wavelet design ; Lifting scheme ; Karhunen&ndash ; Loé ; ve transform ; Block wavelet transform

刊名：Digital Signal Processing

出版年：2016

8.Use of the Karhunen-Loève Transform for interference detection and mitigation in GNSS

作者：Fabio Dovis ; Luciano Musumeci ; ^{luciano.musumeci@polito.it" class="auth_mail" title="E-mail the corresponding author}

关键词：Interference ; Jamming ; Karhunen&ndash ; Loè ; ve Transform ; Chirp signal ; Adaptive notch filter

刊名：ICT Express

出版年：2016

9.Karhunen-Loève expansion of Spartan spatial random fields

作者：Ivi C. Tsantili ^{ivi.tsantili@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Dionissios T. Hristopulos ; ^{dionisi@mred.tuc.gr" class="auth_mail" title="E-mail the corresponding author} ;

关键词：Karhunen&ndash ; Loè ; ve expansion ; Spartan covariance ; Dimension reduction ; Oscillating covariance ; Differentiable random field

刊名：Probabilistic Engineering Mechanics

出版年：2016

10.Coordinate transformation and Polynomial Chaos for the Bayesian inference of a Gaussian process with parametrized prior covariance function

作者：Ihab Sraj^a ; ^{ihab.sraj@kaust.edu.sa" class="auth_mail" title="E-mail the corresponding author} ; Olivier P. Le Maî ; tre^b ; Omar M. Knio^c ; ^d ; Ibrahim Hoteit^a ; ^d

关键词：Karhunen&ndash ; Loè ; ve expansion ; Dimensionality reduction ; Markov Chain Monte Carlo ; Polynomial Chaos ; Bayesian inference

刊名：Computer Methods in Applied Mechanics and Engineering

出版年：2016

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