Permutation-information-theory approach to unveil delay dynamics from time-series analysis

In this paper an approach to identify delay phenomena from time series is developed. We show that it is possible to perform a reliable time delay identification by using quantifiers derived from information theory, more precisely, permutation entropy and permutation statistical complexity. These qua...

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Detalles Bibliográficos
Publicado: 2010
Materias:
Characteristic time
Delay dynamics
Dynamical noise
Feedback rates
High nonlinearity
Mackey-Glass equations
Noise environments
Numerical data
Permutation approach
Permutation entropy
Statistical complexity
Time delay identification
Time-delay systems
Equipment testing
Harmonic analysis
Information theory
Time delay
Time series
Time series analysis
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15393755_v82_n4_p_Zunino
http://hdl.handle.net/20.500.12110/paper_15393755_v82_n4_p_Zunino
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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