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Systematic Errors in Estimating Dimensions from Experimental Data

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Measures of Complexity and Chaos

Part of the book series: NATO ASI Series ((NSSB,volume 208))

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Abstract

The necessity of characterizing chaotic dynamics quantitatively by assigning to them measures like the dimension of the underlying attractor or the entropy production of the system has generally been accepted. The corresponding methods are practiced now by many experimentalists. Most of them have adopted the method by Grassberger and Procaccia [1] that requires only a single-variable time series by making use of the embedding technique originally proposed by Takens [2] Though the validity of the method is beyond any doubt, its practical application presents problems, since it relies on assumptions which are not generally fulfilled in the experiment.

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References

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© 1989 Plenum Press, New York

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Lange, W., Möller, M. (1989). Systematic Errors in Estimating Dimensions from Experimental Data. 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_16

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  • DOI: https://doi.org/10.1007/978-1-4757-0623-9_16

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