Multifractality is ubiquitously observed in complex natural and socioeconomic systems.
Multifractal analysis provides powerful tools to understand the complex nonlinear nature of …

Understanding how chromatin is spatially and dynamically organized in the nucleus of
eukaryotic cells and how this affects genome functions is one of the main challenges of cell …

The software described in this document is furnished under a license agreement. The
software may be used or copied only under the terms of the license agreement. No part of …

Multifractal analysis is becoming a standard statistical analysis technique. In signal
processing, it mostly consists of estimating scaling exponents characterizing scale …

The use of a swarm of low-cost, mission-specific drones to form a Flying Ad-hoc Network
(FANET) has literally become a'hotspot'in the drone community. A number of studies have …

Multifractal analysis is considered a promising tool for image processing, notably for texture
characterization. However, practical operational estimation procedures based on a …

A novel method based on wavelet leaders multifractal features for rolling element bearing
fault diagnosis is proposed. The multifractal features, combined with scaling exponents …

Abstract Based on the Multifractal Detrended Fluctuation Analysis (MFDFA) and on the
Wavelet Transform Modulus Maxima (WTMM) methods we investigate the origin of …

Studies employing functional connectivity-type analyses have established that spontaneous
fluctuations in functional magnetic resonance imaging (fMRI) signals are organized within …

Neuro-degenerative diseases influence significantly the gait behavior and the ability to
move. To explore the etiology of neuro-degenerative disease, it would be useful to …