Stability of the multifractal spectra by transformations of discrete series

In this work we use α-bi-Lipschitz transformation of signals both from empirical and theoretical sources to obtain new tests for the accomplishment of the multifractal formalisms associated with many methods (Wavelet Leaders, Wavelet Transform Modulus Maxima, Multifractal Detrended Fluctuation Analy...

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Detalles Bibliográficos
Autores principales: Corvalán, A., Serrano, E.
Formato: CONF
Materias:
bi-Lipschitz transformations
Multifractal spectrum
Non-linear forecasting
Signal processing
Wavelet leaders
Bi-Lipschitz transformations
Algorithms
Fractals
Numerical methods
Spectrum analysis
Wavelet transforms
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_0277786X_v6701_n_p_Corvalan
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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