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 …

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 and
has proven useful in an increasing number of applications involving univariate data (scalar …

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 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 powerful signal processing tool that characterizes signals
or images via the fluctuations of their pointwise regularity, quantified theoretically by the so …

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

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 has matured into a widely used signal and image processing tool. Due
to the statistical nature of multifractal processes (strongly non-Gaussian and intricate …