‘‘Divergence of high moments and dimension of the carrier’ ’ is the subtitle of Mandelbrot’s 1974 seed paper on random multifractals. The key words ‘‘divergence’ ’ and ‘‘dimension’ ’ met very different fates. ‘‘Dimension’ ’ expanded into a multifractal formalism based on an exponent a and a function f(a). An excellent exposition in Halsey et al. 1986 helped this formalism flourish. But it does not allow divergent high moments and the related inequalities f(a) < 0 and a < 0. As a result, those possibilities did not flourish. Now their time has come for diverse reasons. The broad 1974 definitions of a and f allow a < 0 and f(a) < 0, but the original presentation demanded to be both developed and simplified. This paper shows that b...
Many different physical situations can be described by multifractal distributions. A general framewo...
B. Mandelbrot gave a new birth to the notions of scale invariance, selfsimilarity and non-integer di...
PAPER NO. 1077 The focus of this paper is on the characterization of the skewness of an attribute-v...
The multifractal dimensionality Dq as a function of q expresses the distribution of measure over spa...
Multifractal probability distributions are defined as mixture of n monofractal distributions. The ex...
International audienceScale invariance is a widely used concept to analyze real-world data from many...
Multifractal analysis studies signals, functions, images or fields via the fluctuations of their loc...
In the study of the involved geometry of singular distributions the use of fractal and multifractal ...
International audienceMany examples of signals and images cannot be modeled by locally bounded funct...
11 pages, 1 figure, final version,International audienceThe analysis of the linearization effect in ...
Despite its solid foundations, multifractal analysis is still a challenging task. The 'inversed' sin...
B. Mandelbrot gave a new birth to the notions of scale invariance, selfsimilarity and non-integer di...
In the present paper, we suggest new proofs of many known results about the relative multifractal fo...
Many different physical situations can be described by multifractal distributions. A general framewo...
B. Mandelbrot gave a new birth to the notions of scale invariance, selfsimilarity and non-integer di...
PAPER NO. 1077 The focus of this paper is on the characterization of the skewness of an attribute-v...
The multifractal dimensionality Dq as a function of q expresses the distribution of measure over spa...
Multifractal probability distributions are defined as mixture of n monofractal distributions. The ex...
International audienceScale invariance is a widely used concept to analyze real-world data from many...
Multifractal analysis studies signals, functions, images or fields via the fluctuations of their loc...
In the study of the involved geometry of singular distributions the use of fractal and multifractal ...
International audienceMany examples of signals and images cannot be modeled by locally bounded funct...
11 pages, 1 figure, final version,International audienceThe analysis of the linearization effect in ...
Despite its solid foundations, multifractal analysis is still a challenging task. The 'inversed' sin...
B. Mandelbrot gave a new birth to the notions of scale invariance, selfsimilarity and non-integer di...
In the present paper, we suggest new proofs of many known results about the relative multifractal fo...
Many different physical situations can be described by multifractal distributions. A general framewo...
B. Mandelbrot gave a new birth to the notions of scale invariance, selfsimilarity and non-integer di...
PAPER NO. 1077 The focus of this paper is on the characterization of the skewness of an attribute-v...