Wavelet-based discrimination of isolated singularities masquerading as multifractals in detrended fluctuation analyses

The robustness of two widespread multifractal analysis methods, one based on detrended fluctuation analysis and one on wavelet leaders, is discussed in the context of time-series containing non-uniform structures with only isolated singularities. Signals generated by simulated and experimentally-rea...

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Autores principales: Oświȩcimka, Paweł, Drożdż, Stanisław, Frasca, Mattia, Gȩbarowski, Robert, Yoshimura, Natsue, Zunino, Luciano José, Minati, Ludovico
Formato: Articulo
Lenguaje:Inglés
Publicado: 2020
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Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/133112
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id I19-R120-10915-133112
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Física
Chaotic oscillator
Complexity
Dynamical system
Hölder exponents
Multifractal analysis
Multifractal spectrum
Singularity
Time-series analysis
spellingShingle Física
Chaotic oscillator
Complexity
Dynamical system
Hölder exponents
Multifractal analysis
Multifractal spectrum
Singularity
Time-series analysis
Oświȩcimka, Paweł
Drożdż, Stanisław
Frasca, Mattia
Gȩbarowski, Robert
Yoshimura, Natsue
Zunino, Luciano José
Minati, Ludovico
Wavelet-based discrimination of isolated singularities masquerading as multifractals in detrended fluctuation analyses
topic_facet Física
Chaotic oscillator
Complexity
Dynamical system
Hölder exponents
Multifractal analysis
Multifractal spectrum
Singularity
Time-series analysis
description The robustness of two widespread multifractal analysis methods, one based on detrended fluctuation analysis and one on wavelet leaders, is discussed in the context of time-series containing non-uniform structures with only isolated singularities. Signals generated by simulated and experimentally-realized chaos generators, together with synthetic data addressing particular aspects, are taken into consideration. The results reveal essential limitations affecting the ability of both methods to correctly infer the non-multifractal nature of signals devoid of a cascade-like hierarchy of singularities. Namely, signals harboring only isolated singularities are found to artefactually give rise to broad multifractal spectra, resembling those expected in the presence of a well-developed underlying multifractal structure. Hence, there is a real risk of incorrectly inferring multifractality due to isolated singularities. The careful consideration of local scaling properties and the distribution of Holder exponent obtained, for example, through wavelet analysis, is indispensable for rigorously assessing the presence or absence of multifractality.
format Articulo
Articulo
author Oświȩcimka, Paweł
Drożdż, Stanisław
Frasca, Mattia
Gȩbarowski, Robert
Yoshimura, Natsue
Zunino, Luciano José
Minati, Ludovico
author_facet Oświȩcimka, Paweł
Drożdż, Stanisław
Frasca, Mattia
Gȩbarowski, Robert
Yoshimura, Natsue
Zunino, Luciano José
Minati, Ludovico
author_sort Oświȩcimka, Paweł
title Wavelet-based discrimination of isolated singularities masquerading as multifractals in detrended fluctuation analyses
title_short Wavelet-based discrimination of isolated singularities masquerading as multifractals in detrended fluctuation analyses
title_full Wavelet-based discrimination of isolated singularities masquerading as multifractals in detrended fluctuation analyses
title_fullStr Wavelet-based discrimination of isolated singularities masquerading as multifractals in detrended fluctuation analyses
title_full_unstemmed Wavelet-based discrimination of isolated singularities masquerading as multifractals in detrended fluctuation analyses
title_sort wavelet-based discrimination of isolated singularities masquerading as multifractals in detrended fluctuation analyses
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/133112
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