Invariant measures as lagrangian variables: Their application to time series analysis
We introduce a new procedure for the analysis of a chaotic time series with a “Lagrangian” variable of the system’s trajectory. Using the density of points that the systems encounters as it evolves, we can extract all dynamically connected frequencies in a continuous time dynamical system. We apply...
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Formato: | JOUR |
Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_00319007_v77_n2_p259_Ortega |
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Sumario: | We introduce a new procedure for the analysis of a chaotic time series with a “Lagrangian” variable of the system’s trajectory. Using the density of points that the systems encounters as it evolves, we can extract all dynamically connected frequencies in a continuous time dynamical system. We apply this technique to simulated and experimental time series. © 1996 American Physical Society. |
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