This paper deals with estimating the fractal dimension of realizations of random fields. The numerical methods in use are based on analysis of the variance of increments. To study the fractal properties, we propose the use of a specific characteristic of random fields called “variational dimension”. For a class of Gaussian fields with homogeneous increments, the variational dimension converges to the Hausdorff dimension. Several examples are presented to illustrate that the concept of variational dimension can be used to construct effective computational methods
This bachelor's thesis topic is fractal dimension and its estimations. First chapter is dedicated to...
The (constructive Hausdorff) dimension of a point x in Euclidean space is the algorithmic informati...
In this paper, the problem of estimating the intrinsic dimension of a data set is investigated. A fr...
A concept of variational dimension is introduced for a random sequence with stationary increments. I...
A concept of variational dimension is introduced for a random sequence with stationary increments. I...
This article examines fractals with reference to random models of natural surfaces, highlighting the...
Abstract. The purpose of this note is to calculate the almost sure Hausdorff dimension of uniformly ...
In this paper we estimate the fractal dimension of stochastic processes with 1/f-like spectra by app...
International audienceFine regularity of stochastic processes is usually measured in a local way by ...
International audienceFine regularity of stochastic processes is usually measured in a local way by ...
International audienceFine regularity of stochastic processes is usually measured in a local way by ...
We calculate the almost sure Hausdorff dimension for a general class of random affine planar code t...
We calculate the almost sure Hausdorff dimension for a general class of random affine planar code t...
We construct a family of measures for random fields based on the iterated subdivision of simple geom...
Geometric properties of dynamically triangulated random surfaces in three-dimensional space can be d...
This bachelor's thesis topic is fractal dimension and its estimations. First chapter is dedicated to...
The (constructive Hausdorff) dimension of a point x in Euclidean space is the algorithmic informati...
In this paper, the problem of estimating the intrinsic dimension of a data set is investigated. A fr...
A concept of variational dimension is introduced for a random sequence with stationary increments. I...
A concept of variational dimension is introduced for a random sequence with stationary increments. I...
This article examines fractals with reference to random models of natural surfaces, highlighting the...
Abstract. The purpose of this note is to calculate the almost sure Hausdorff dimension of uniformly ...
In this paper we estimate the fractal dimension of stochastic processes with 1/f-like spectra by app...
International audienceFine regularity of stochastic processes is usually measured in a local way by ...
International audienceFine regularity of stochastic processes is usually measured in a local way by ...
International audienceFine regularity of stochastic processes is usually measured in a local way by ...
We calculate the almost sure Hausdorff dimension for a general class of random affine planar code t...
We calculate the almost sure Hausdorff dimension for a general class of random affine planar code t...
We construct a family of measures for random fields based on the iterated subdivision of simple geom...
Geometric properties of dynamically triangulated random surfaces in three-dimensional space can be d...
This bachelor's thesis topic is fractal dimension and its estimations. First chapter is dedicated to...
The (constructive Hausdorff) dimension of a point x in Euclidean space is the algorithmic informati...
In this paper, the problem of estimating the intrinsic dimension of a data set is investigated. A fr...