Abstract
The analysis of model as well as experimental time series has become very popular in recent years. Various procedures have been developed to evaluate such quantities as dimensions (1–3], entropies [1–2,4] or Lyapunov exponents [1–2,5]. These quantities furnish important information about the dynamics of some experimental systems where typically very few variables can be measured and not much is known about the complex dynamics underlying the time evolution of the system.
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© 1989 Plenum Press, New York
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Babloyantz, A. (1989). Some Remarks on Nonlinear Data Analysis of Physiological Time Series. In: Abraham, N.B., Albano, A.M., Passamante, A., Rapp, P.E. (eds) Measures of Complexity and Chaos. NATO ASI Series, vol 208. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-0623-9_4
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DOI: https://doi.org/10.1007/978-1-4757-0623-9_4
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