Weighted tensorized fractional Brownian textures

Fuente: arXiv
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Main Authors: Esser, Céline, Launay, Claire, Loosveldt, Laurent, Vedel, Béatrice
Format: Preprint
Published: 2024
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author Esser, Céline
Launay, Claire
Loosveldt, Laurent
Vedel, Béatrice
author_facet Esser, Céline
Launay, Claire
Loosveldt, Laurent
Vedel, Béatrice
contents This paper presents a new model of textures, obtained as realizations of a new class of fractional Brownian fields. These fields, called weighted tensorized fractional Brownian fields, are obtained by a relaxation of the tensor-product structure that appears in the definition of fractional Brownian sheets. Statistical properties such as self-similarity, stationarity of rectangular increments and regularity properties are obtained. An operator scaling extension is defined and we provide simulations of the fields using their spectral representation.
format Preprint
id arxiv_https___arxiv_org_abs_2406_03313
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Weighted tensorized fractional Brownian textures
Esser, Céline
Launay, Claire
Loosveldt, Laurent
Vedel, Béatrice
Probability
This paper presents a new model of textures, obtained as realizations of a new class of fractional Brownian fields. These fields, called weighted tensorized fractional Brownian fields, are obtained by a relaxation of the tensor-product structure that appears in the definition of fractional Brownian sheets. Statistical properties such as self-similarity, stationarity of rectangular increments and regularity properties are obtained. An operator scaling extension is defined and we provide simulations of the fields using their spectral representation.
title Weighted tensorized fractional Brownian textures
topic Probability
url https://arxiv.org/abs/2406.03313