On the intrinsic time scales involved in synchronization: A data-driven approach

DOI10.1063/1.1938467zbMath1080.37088OpenAlexW2078556051WikidataQ30995628 ScholiaQ30995628MaRDI QIDQ5705506

Vincent Navarro, Claude Adam, Jacques Martinerie, M. Chavez, Stefano Boccaletti

Publication date: 8 November 2005

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1063/1.1938467

Mathematics Subject Classification ID

Neural biology (92C20) Dynamical systems in biology (37N25) Nonlinear oscillations and coupled oscillators for ordinary differential equations (34C15) Time series analysis of dynamical systems (37M10)

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Cites Work

• The synchronization of chaotic systems
• Deriving main rhythms of the human cardiovascular system from the heartbeat time series and detecting their synchronization
• The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
• Ergodic theory of chaos and strange attractors
• EMPIRICAL MODE DECOMPOSITIONS AS DATA-DRIVEN WAVELET-LIKE EXPANSIONS