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Simulating space-time random fields with nonseparable Gneiting-type covariance functions
(Springer, 2020)
Two algorithms are proposed to simulate space-time Gaussian random fields with a covariance function belonging to an extended Gneiting class, the definition of which depends on a completely monotone function associated ...
On a continuous spectral algorithm for simulating non stationary Gaussian random fields
(Springer, 2018)
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 ...
On a continuous spectral algorithm for simulating non-stationary Gaussian random fields
(Springer New York LLC, 2018)
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 ...
Improvement of leaf nitrogen content inference in Valencia-orange trees applying spectral analysis algorithms in UAV mounted-sensor images
(Elsevier B.V., 2019-11-01)
Nitrogen is one of the main required nutrients for the production of citrus plants. Farmers have used the chemical analysis of leaf tissue to determine the amount of nitrogen needed in a crop. However, its possible to ...
An improved spectral turning-bands algorithm for simulating stationary vector Gaussian random fields
(2016)
We propose a spectral turning-bands approach for the simulation of second-order stationary vector Gaussian random fields. The approach improves existing spectral methods through coupling with importance sampling techniques. ...
Spectral simulation of vector random fields with stationary gaussian increments in d-dimensional euclidean spaces
(Springer, 2017)
This paper addresses the problem of simulating multivariate random fields with stationary Gaussian increments in a d-dimensional Euclidean space. To this end, one considers a spectral turning-bands algorithm, in which the ...
Simulation of intrinsic random fields of order k with a continuous spectral algorithm
(Springer New York LLC, 2018)
Intrinsic random fields of order k, defined as random fields whose high-order increments (generalized increments of order
k) are second-order stationary, are used in spatial statistics to model regionalized variables ...
Simulated relaxation rate and local magnetic field distributions in porous systems
(Facultad Experimental de Ciencias de la Universidad del Zulia, 2011)
Precision of yule-walker methods for the arma spectral model
(2004-12-01)
In this work a new method is proposed of separated estimation for the ARMA spectral model based on the modified Yule-Walker equations and on the least squares method. The proposal of the new method consists of performing ...