Extracting features of Gaussian self-similar stochastic processes via the Bandt-Pompe approach
Abstract
By recourse to appropriate information theory quantifiers (normalized Shannon entropy and MartÃn-Plastino-Rosso intensive statistical complexity measure), we revisit the characterization of Gaussian self-similar stochastic processes from a Bandt-Pompe viewpoint. We show that the ensuing approach exhibits considerable advantages with respect to other treatments. In particular, clear quantifiers gaps are found in the transition between the continuous processes and their associated noises. © 2007 The American Physical Society.
Más información
Título según WOS: | Extracting features of Gaussian self-similar stochastic processes via the Bandt-Pompe approach |
Título según SCOPUS: | Extracting features of Gaussian self-similar stochastic processes via the Bandt-Pompe approach |
Título de la Revista: | PHYSICAL REVIEW E |
Volumen: | 76 |
Número: | 6 |
Editorial: | AMER PHYSICAL SOC |
Fecha de publicación: | 2007 |
Idioma: | English |
URL: | http://link.aps.org/doi/10.1103/PhysRevE.76.061114 |
DOI: |
10.1103/PhysRevE.76.061114 |
Notas: | ISI, SCOPUS |