this paper, we will describe a convenient method for generating these random processes and fields e#ectively. In Section 2, we will focus on stationary Gaussian Random Process and fields. Non-stationary Gaussian random process and how one may estimate its roughness will be discussed in Section 3. We will conclude this paper with information on CPU timing of all algorithms described in this paper in Section 4. Fortran programs implementing all simulation algorithms are available from http://www.stat.uiowa.edu/~grcha
ABSTRACT. This paper compares two strategies that reduce the cost of running a simulator of the freq...
This paper presents an algorithm for simulating Gaussian random fields with zero mean and non-statio...
We present a method for binary texture synthesis based on thresholds of Gaussian random fields. The ...
Mathematical justifications are given for a simulation technique of multivariate nonGaussian random ...
The non-Gaussian random fields are used to modelling some dynamic loads generated by wind turbulence...
Abstract. Fast Fourier transforms are used to develop algorithms for the fast generation of correlat...
The simulation of random spatial data on a computer is an important tool for understanding the behav...
The sequential algorithm is widely used to simulate Gaussian random fields. However, a rigorous appl...
The purpose of this paper is to present numerical methods for the computation of samples of a Gaussi...
We present a method for numerical modeling of binary homogeneous random fields based on thresholds o...
Fast Fourier transforms are used to develop algorithms for the fast generation of correlated Gaussi...
ABSTRACT. A general method to generate simulated paths of non-Gaussian homogeneous random fields, ba...
International audienceA general method to generate simulated paths of non-Gaussian homogeneous rando...
A method of simulating random fields using a moving average is proposed in this paper. Random fields...
The efficient simulation of isotropic Gaussian random fields on the unit sphere is a task encountere...
ABSTRACT. This paper compares two strategies that reduce the cost of running a simulator of the freq...
This paper presents an algorithm for simulating Gaussian random fields with zero mean and non-statio...
We present a method for binary texture synthesis based on thresholds of Gaussian random fields. The ...
Mathematical justifications are given for a simulation technique of multivariate nonGaussian random ...
The non-Gaussian random fields are used to modelling some dynamic loads generated by wind turbulence...
Abstract. Fast Fourier transforms are used to develop algorithms for the fast generation of correlat...
The simulation of random spatial data on a computer is an important tool for understanding the behav...
The sequential algorithm is widely used to simulate Gaussian random fields. However, a rigorous appl...
The purpose of this paper is to present numerical methods for the computation of samples of a Gaussi...
We present a method for numerical modeling of binary homogeneous random fields based on thresholds o...
Fast Fourier transforms are used to develop algorithms for the fast generation of correlated Gaussi...
ABSTRACT. A general method to generate simulated paths of non-Gaussian homogeneous random fields, ba...
International audienceA general method to generate simulated paths of non-Gaussian homogeneous rando...
A method of simulating random fields using a moving average is proposed in this paper. Random fields...
The efficient simulation of isotropic Gaussian random fields on the unit sphere is a task encountere...
ABSTRACT. This paper compares two strategies that reduce the cost of running a simulator of the freq...
This paper presents an algorithm for simulating Gaussian random fields with zero mean and non-statio...
We present a method for binary texture synthesis based on thresholds of Gaussian random fields. The ...