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: | , , , , , , |
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| Formato: | Articulo |
| Lenguaje: | Inglés |
| Publicado: |
2020
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/133112 |
| Aporte de: |
| id |
I19-R120-10915-133112 |
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| 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 |
| work_keys_str_mv |
AT oswiecimkapaweł waveletbaseddiscriminationofisolatedsingularitiesmasqueradingasmultifractalsindetrendedfluctuationanalyses AT drozdzstanisław waveletbaseddiscriminationofisolatedsingularitiesmasqueradingasmultifractalsindetrendedfluctuationanalyses AT frascamattia waveletbaseddiscriminationofisolatedsingularitiesmasqueradingasmultifractalsindetrendedfluctuationanalyses AT gebarowskirobert waveletbaseddiscriminationofisolatedsingularitiesmasqueradingasmultifractalsindetrendedfluctuationanalyses AT yoshimuranatsue waveletbaseddiscriminationofisolatedsingularitiesmasqueradingasmultifractalsindetrendedfluctuationanalyses AT zuninolucianojose waveletbaseddiscriminationofisolatedsingularitiesmasqueradingasmultifractalsindetrendedfluctuationanalyses AT minatiludovico waveletbaseddiscriminationofisolatedsingularitiesmasqueradingasmultifractalsindetrendedfluctuationanalyses |
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Repositorios |
| _version_ |
1764820454819758080 |