2014 Spring.There are multiple definitions for fractal dimension, and those definitions disagree. The multifractal spectrum provides a unifying framework for a broad family of definitions of dimension, but it requires large amounts of data to compute. We provide a description of the multifractal spectrum, one existing improvement that improves convergence for small data sets: the Extended Box Algorithm (EBA), and develop several further improvements: Local and Global Norm modifications to the EBA, the a-Norm, the Variable Box size Algorithm (VBA), and the Patchwork method
International audienceWe introduce two classes of multifractal spectra, called respectively dimensio...
Despite its solid foundations, multifractal analysis is still a challenging task. The 'inversed' sin...
Multifractals have been applied to characterize complex communities in a spatial context. They were ...
It is often taken for granted that the analysis of multifractals with fixed-size algorithms leads to...
Software used to determine multifractal spectra: Generalized dimensions Dq and spectrum of singulari...
Multifractal probability distributions are defined as mixture of n monofractal distributions. The ex...
The multifractal dimensionality Dq as a function of q expresses the distribution of measure over spa...
International audienceNumerical methods which utilize partitions of equal-size, including the box-co...
<p>Update to version 1: </p> <ul> <li>Included pre-compiled windows binaries</li> <li>Some minor ch...
Complex networks have attracted much attention in diverse areas of science and technology. Multifrac...
peer reviewedComputing the spectrum of singularities of a real-life signal by using the definition i...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
A fractal is a property of self-similarity, each small part of the fractal object is similar to the ...
International audienceMultifractal analysis has become a powerful signal processing tool that charac...
In this paper, we have developed a method to compute fractal dimension (FD) of discrete time signals...
International audienceWe introduce two classes of multifractal spectra, called respectively dimensio...
Despite its solid foundations, multifractal analysis is still a challenging task. The 'inversed' sin...
Multifractals have been applied to characterize complex communities in a spatial context. They were ...
It is often taken for granted that the analysis of multifractals with fixed-size algorithms leads to...
Software used to determine multifractal spectra: Generalized dimensions Dq and spectrum of singulari...
Multifractal probability distributions are defined as mixture of n monofractal distributions. The ex...
The multifractal dimensionality Dq as a function of q expresses the distribution of measure over spa...
International audienceNumerical methods which utilize partitions of equal-size, including the box-co...
<p>Update to version 1: </p> <ul> <li>Included pre-compiled windows binaries</li> <li>Some minor ch...
Complex networks have attracted much attention in diverse areas of science and technology. Multifrac...
peer reviewedComputing the spectrum of singularities of a real-life signal by using the definition i...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
A fractal is a property of self-similarity, each small part of the fractal object is similar to the ...
International audienceMultifractal analysis has become a powerful signal processing tool that charac...
In this paper, we have developed a method to compute fractal dimension (FD) of discrete time signals...
International audienceWe introduce two classes of multifractal spectra, called respectively dimensio...
Despite its solid foundations, multifractal analysis is still a challenging task. The 'inversed' sin...
Multifractals have been applied to characterize complex communities in a spatial context. They were ...