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.
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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