Frame duration is an essential parameter to ensure correct application of multifractal signal
processing. This paper aims to identify the multifractal nature of speech signals through …

This paper describes a novel framework in processing speech signals using multifractality
concepts, and shows that multifractality could be a new fundamental tool for speech …

The study of languages' structure and their organization in a set of well-defined relation
schemes is a delicate matter. In the last decades, the convergence of traditional conflicting …

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 …

Large classes of signals exhibit a very irregular behavior. In the most complicated situations
this irregular behavior may follow different regimes, and can switch from one regime to …

Multifractal analysis is nowadays commonly used in real-life data analyses and involved in
standard signal processing tasks such as detection, identification or classification. In a …

Irregularities in the amplitude and period are characteristic of both normal and pathological
sustained vowels; they are a product of perturbations inherent in the phonation process …

We introduce a new multifractal formalism based on wavelet leaders and study its
properties. Comparing it against previously formulated wavelet coefficient based multifractal …

Scale invariance is a widely used concept to analyze real-world data from many different
applications and multifractal analysis has become the standard corresponding signal …

Multidimensional Models for Methodological Validation in Multifractal Analysis Page 1 Abstract:
Multifractal analysis is known as a useful tool in signal analysis. However methods are often …