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Abstract:

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.

Registro:

Documento: Artículo
Título:Invariant measures as lagrangian variables: Their application to time series analysis
Autor:Ortega, G.J.
Filiación:Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
Año:1996
Volumen:77
Número:2
Página de inicio:259
Página de fin:262
DOI: http://dx.doi.org/10.1103/PhysRevLett.77.259
Título revista:Physical Review Letters
Título revista abreviado:Phys Rev Lett
ISSN:00319007
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00319007_v77_n2_p259_Ortega

Referencias:

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Citas:

---------- APA ----------
(1996) . Invariant measures as lagrangian variables: Their application to time series analysis. Physical Review Letters, 77(2), 259-262.
http://dx.doi.org/10.1103/PhysRevLett.77.259
---------- CHICAGO ----------
Ortega, G.J. "Invariant measures as lagrangian variables: Their application to time series analysis" . Physical Review Letters 77, no. 2 (1996) : 259-262.
http://dx.doi.org/10.1103/PhysRevLett.77.259
---------- MLA ----------
Ortega, G.J. "Invariant measures as lagrangian variables: Their application to time series analysis" . Physical Review Letters, vol. 77, no. 2, 1996, pp. 259-262.
http://dx.doi.org/10.1103/PhysRevLett.77.259
---------- VANCOUVER ----------
Ortega, G.J. Invariant measures as lagrangian variables: Their application to time series analysis. Phys Rev Lett. 1996;77(2):259-262.
http://dx.doi.org/10.1103/PhysRevLett.77.259