Título
Multifractal properties of elementary cellular automata in a discrete wavelet approach of MF-DFA
Autor
JAIME ENRIQUE PEREZ TERRAZAS
HARET CODRATIAN ROSU
Nivel de Acceso
Acceso Abierto
Identificador alterno
doi: https://doi.org/10.1209/0295-5075/87/28003
Materias
Resumen o descripción
"In 2005, Nagler and Claussen (Phys. Rev. E 71, 067103 (2005)) investigated the time series of the elementary cellular automata (ECA) for possible (multi)fractal behavior. They eliminated the polynomial background atb through the direct fit-ting of the polynomial coefficients a and b. We here reconsider their work eliminating the polynomial trend by means of the multifractal-based detrended fluctuation analysis (MF-DFA) in which the wavelet multiresolution property is employed to filter out the trend in a more speedy way than the direct polynomial fitting and also with respect to the wavelet transform modulus maxima (WTMM) procedure. In the algorithm, the discrete fast wavelet transform is used to calculate the trend as a local feature that enters the so-called details signal. We illustrate our result for three representative ECA rules: 90, 105, and 150. We confirm their multifractal behavior and provide our results for the scaling parameters."
Editor
IOPSCIENCE
Fecha de publicación
2009
Tipo de publicación
Artículo
Versión de la publicación
Versión aceptada
Recurso de información
Formato
application/pdf
Idioma
Inglés
Audiencia
Público en general
Sugerencia de citación
J. S. Murguia1, J. E. Pérez-Terrazas and H. C. Rosu. 2009 EPL 87 28003. https://doi.org/10.1209/0295-5075/87/28003
Repositorio Orígen
Repositorio IPICYT
Descargas
373