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arXiv 2406.03313math.PR

加权张量化分数布朗纹理

Weighted tensorized fractional Brownian textures

Céline Esser, Claire Launay, Laurent Loosveldt, Béatrice Vedel

AI总结:

本文通过放宽分数布朗片的张量积结构,提出加权张量化分数布朗场作为新的纹理模型,并分析了其统计性质、算子尺度扩展及谱表示模拟。

摘要:

本文提出了一种新的纹理模型,该模型通过一类新的分数布朗场的实现获得。这些场被称为加权张量化分数布朗场,是通过放宽分数布朗片定义中出现的张量积结构而得到的。本文获得了自相似性、矩形增量的平稳性以及正则性等统计性质。定义了一个算子尺度扩展,并利用其谱表示提供了这些场的模拟。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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