Nonlinear time series analysis /
Introduction: why nonlinear methods? - Linear tools and general considerations - Phase space methods - Determinism and predictability - Instability: Lyapunov exponents - Self-similarity: dimensions - Using nonlinear methods when deterinism is weak - Selected nonlinear phenomena - Advanced embedding...
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| Formato: | Libro |
| Lenguaje: | Inglés |
| Publicado: |
Cambridge :
University Press,
2004.
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| Edición: | 2nd ed. |
| Materias: | |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
| Sumario: | Introduction: why nonlinear methods? - Linear tools and general considerations - Phase space methods - Determinism and predictability - Instability: Lyapunov exponents - Self-similarity: dimensions - Using nonlinear methods when deterinism is weak - Selected nonlinear phenomena - Advanced embedding methods - Chaotic data and noise - More about invariant quantities - Modelling and forecasting - Non-stationary signals - Coupling and synchronisation of nonlinear systems - Chaos control - Using the TISEAN programs - Description of the experimental data sets. |
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| Descripción Física: | 369 p. : figuras |
| ISBN: | 9780521529020 0521529026 |