Multifractal analysis has become an important procedure for estimating local regularities in
experimental data. However, while univariate multifractal analysis is well-established, how …

In this paper, we develop a methodology for the local estimation of multifractal properties in
random 2D fields. The main novelty of our approach lies in introducing a local average of …

Multifractal analysis, that quantifies the fluctuations of regularities in time series or textures,
has become a standard signal/image processing tool. It has been successfully used in a …

Multifractal analysis is a powerful modeling and estimation framework for the
characterization of data dynamics via the fluctuations of its pointwise regularity in time or …

Multifractal analysis has become a reference tool for signal and image processing.
Grounded in the quantification of local regularity fluctuations, it has proven useful in an …

Multifractal analysis is a reference tool for the analysis of data based on local regularity,
which has been proven useful in an increasing number of applications. However, in its …

Multifractal analysis provides the theoretical and practical tools for describing the
fluctuations of pointwise regularity in data and has led to many successful applications in …

Scale invariance is a widely used concept to analyze real-world data from many different
applications and multifractal analysis has become the standard corresponding signal …

Multidimensional Models for Methodological Validation in Multifractal Analysis 1. Introduction
Page 1 Math. Model. Nat. Phenom. Vol. 3, No. 6, 2008, pp. 33-47 Multidimensional Models for …

Multifractal analysis (MF) is a widely used signal processing tool that enables the study of
scale invariance models. Classical MF assumes homogeneous MF properties, which cannot …