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   Articles with "gaussian random" as a keyword



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On a continuous spectral algorithm for simulating non-stationary Gaussian random fields

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recommendations! Published in 2017 at "Stochastic Environmental Research and Risk Assessment"

DOI: 10.1007/s00477-017-1402-3

Abstract: This paper presents an algorithm for simulating Gaussian random fields with zero mean and non-stationary covariance functions. The simulated field is obtained as a weighted sum of cosine waves with random frequencies and random phases,… read more here.

Keywords: random fields; stationary gaussian; algorithm simulating; non stationary ... See more keywords
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Average Discrete Energies of Spectra of Gaussian Random Matrices

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recommendations! Published in 2019 at "Journal of Mathematical Sciences"

DOI: 10.1007/s10958-019-4145-5

Abstract: We present exact formulas for the averages of various discrete energies of certain point processes in the plane and two-dimensional sphere. Specifically, we consider point processes defined by the spectra of gaussian random matrices and… read more here.

Keywords: random matrices; average discrete; discrete energies; spectra gaussian ... See more keywords
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Approximation of maximum of Gaussian random fields

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recommendations! Published in 2018 at "Journal of Mathematical Analysis and Applications"

DOI: 10.1016/j.jmaa.2017.08.040

Abstract: This contribution is concerned with Gumbel limiting results for supremum M-n = sup(t epsilon[0,Tn])X(n)(t)vertical bar with X (n) ,n epsilon N-2 centered Gaussian random fields with continuous traj ... read more here.

Keywords: random fields; gaussian random; maximum gaussian; approximation maximum ... See more keywords
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Regularity, continuity and approximation of isotropic Gaussian random fields on compact two-point homogeneous spaces

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recommendations! Published in 2020 at "Stochastic Processes and their Applications"

DOI: 10.1016/j.spa.2020.02.003

Abstract: Abstract Gaussian random fields defined over compact two-point homogeneous spaces are considered and Sobolev regularity and Holder continuity are explored through spectral representations. It is shown how spectral properties of the covariance function associated to… read more here.

Keywords: random fields; point homogeneous; homogeneous spaces; compact two ... See more keywords
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Weak-lensing mass reconstruction using sparsity and a Gaussian random field

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recommendations! Published in 2021 at "Astronomy and Astrophysics"

DOI: 10.1051/0004-6361/202039451

Abstract: We introduce a novel approach to reconstruct dark matter mass maps from weak gravitational lensing measurements. The cornerstone of the proposed method lies in a new modelling of the matter density field in the Universe… read more here.

Keywords: reconstruction; random field; field; mass ... See more keywords
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Optimal Sampling Placement in a Gaussian Random Field Based on Value of Information

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recommendations! Published in 2018 at "ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering"

DOI: 10.1061/ajrua6.0000970

Abstract: AbstractIn the context of sampling, monitoring, and sensing in infrastructures, there is an interest in algorithms to produce an observation plan that is cost effective, while maximizing the benefi... read more here.

Keywords: placement gaussian; random field; optimal sampling; gaussian random ... See more keywords
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A statistical test for the hypothesis of Gaussian random function

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recommendations! Published in 2018 at "Statistics"

DOI: 10.1080/02331888.2018.1435659

Abstract: ABSTRACT A Gaussian random function is a functional version of the normal distribution. This paper proposes a statistical hypothesis test to test whether or not a random function is a Gaussian random function. A parameter… read more here.

Keywords: random function; gaussian random; random; test ... See more keywords
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Ultraefficient reconstruction of effectively hyperuniform disordered biphase materials via non-Gaussian random fields.

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recommendations! Published in 2022 at "Physical review. E"

DOI: 10.1103/physreve.105.045305

Abstract: Disordered hyperuniform systems are statistically isotropic and possess no Bragg peaks like liquids and glasses, yet they suppress large-scale density fluctuations in a similar manner as in perfect crystals. The unique hyperuniform long-range order in… read more here.

Keywords: biphase materials; effectively hyperuniform; non gaussian; reconstruction ... See more keywords
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Transformed Gaussian Random Fields for Unsupervised Image Deconvolution

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recommendations! Published in 2022 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2022.3233003

Abstract: This paper deals with the problem of Bayesian deconvolution. Starting from the classical Gaussian Markov Random Fields (GMRF) prior, we present a broader model referred as transformed GMRF (TGRF) in which the latent field results… read more here.

Keywords: random fields; deconvolution; gaussian random; image ... See more keywords
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Information-Theoretic Secret Sharing From Correlated Gaussian Random Variables and Public Communication

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recommendations! Published in 2022 at "IEEE Transactions on Information Theory"

DOI: 10.1109/tit.2021.3122808

Abstract: In this paper, we study an information-theoretic secret sharing problem, where a dealer distributes shares of a secret among a set of participants under the following constraints: (i) authorized sets of users can recover the… read more here.

Keywords: information; secret sharing; information theoretic; theoretic secret ... See more keywords
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Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces

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recommendations! Published in 2018 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2017.2778685

Abstract: Dimension reduction plays an essential role when decreasing the complexity of solving large-scale problems. The well-known Johnson–Lindenstrauss (JL) lemma and restricted isometry property (RIP) admit the use of random projection to reduce the dimension while… read more here.

Keywords: restricted isometry; random projection; isometry property; gaussian random ... See more keywords