Abstract
Following the ideas of Ruelle and others [1,2], an embedding phase space can be reconstructed from experimental systems on the basis of time series data. The introduction of numerical methods for calculating dimensions, entropies, Lyapunov exponents and other related properties, has permitted extensive investigations of chaotic experimental systems these last years. However, severe restrictions about the applicability of these methods were noticed, especially for high dimensional systems [3–6].
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© 1989 Plenum Press, New York
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Destexhe, A., Nicolis, G., Nicolis, C. (1989). Symbolic Dynamics from Chaotic 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_48
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DOI: https://doi.org/10.1007/978-1-4757-0623-9_48
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