The design of appropriate multifractal analysis algorithms, able to correctly characterize the scaling properties of multifractal systems from experimental, discretized data, is a major challenge in the study of such scale invariant systems. In the recent years, a growing interest for the application of the microcanonical formalism has taken place, as it allows a precise localization of the fractal components as well as a statistical characterization of the system. In this paper, we deal with the specific problems arising when systems that are strictly monofractal are analyzed using some standard microcanonical multifractal methods. We discuss the adaptations of these methods needed to give an appropriate treatment of monofractal systems
Multifractal analysis studies signals, functions, images or fields via the fluctuations of their loc...
33 pagesWe introduce a local multifractal formalism adapted to functions, measures or distributions ...
Although multifractals are rooted in probability, much of the related literature comes from the phys...
The design of appropriate multifractal analysis algorithms, able to correctly characterize the scali...
International audienceMultifractal formalism in the microcanonical framework has proved to be a valu...
Complex systems are abundant in our natural environment. In linear systems, the equations of their d...
[eng] Complex systems are abundant in our natural environment. In linear systems, the equations of t...
International audienceWe show how a joint multifractal analysis of a collection of signals unravels ...
Despite its solid foundations, multifractal analysis is still a challenging task. The 'inversed' sin...
"We first apply the WT-MFDFA, MFDFA, and WTMM multifractal methods to binomial multifrac-tal time ser...
We introduce the mathematical concept of multifracfality and describe various multifractal spectra f...
In this paper, the method of caculating multifractal spectrum with partition function is briefly int...
11 pages, 1 figure, final version,International audienceThe analysis of the linearization effect in ...
Complex networks have attracted much attention in diverse areas of science and technology. Multifrac...
The purpose of multifractal analysis is to compute the dimension of the sets where a function has a ...
Multifractal analysis studies signals, functions, images or fields via the fluctuations of their loc...
33 pagesWe introduce a local multifractal formalism adapted to functions, measures or distributions ...
Although multifractals are rooted in probability, much of the related literature comes from the phys...
The design of appropriate multifractal analysis algorithms, able to correctly characterize the scali...
International audienceMultifractal formalism in the microcanonical framework has proved to be a valu...
Complex systems are abundant in our natural environment. In linear systems, the equations of their d...
[eng] Complex systems are abundant in our natural environment. In linear systems, the equations of t...
International audienceWe show how a joint multifractal analysis of a collection of signals unravels ...
Despite its solid foundations, multifractal analysis is still a challenging task. The 'inversed' sin...
"We first apply the WT-MFDFA, MFDFA, and WTMM multifractal methods to binomial multifrac-tal time ser...
We introduce the mathematical concept of multifracfality and describe various multifractal spectra f...
In this paper, the method of caculating multifractal spectrum with partition function is briefly int...
11 pages, 1 figure, final version,International audienceThe analysis of the linearization effect in ...
Complex networks have attracted much attention in diverse areas of science and technology. Multifrac...
The purpose of multifractal analysis is to compute the dimension of the sets where a function has a ...
Multifractal analysis studies signals, functions, images or fields via the fluctuations of their loc...
33 pagesWe introduce a local multifractal formalism adapted to functions, measures or distributions ...
Although multifractals are rooted in probability, much of the related literature comes from the phys...