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Measuring Complexity in Terms of Mutual Information

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Book cover Measures of Complexity and Chaos

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

Abstract

An alternative definition of the KS entropy h μ based on mutual information is proposed. The new definition is designed to handle experimental noise more gracefully than the standard definition. An example is used to illustrate the difference.

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References

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Author information

Authors and Affiliations

  1. Center for Nonlinear Dynamics Department of Physics, University of Texas, Austin, Texas, 78712, USA

    Andrew M. Fraser

Authors
  1. Andrew M. Fraser
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Editor information

Editors and Affiliations

  1. Department of Physics, Bryn Mawr College, 19010-2899, Bryn Mawr, Pennsylvania, USA

    Neal B. Abraham  & Alfonso M. Albano  & 

  2. Naval Air Development Center, 18974, Warminster, Pennsylvania, USA

    Anthony Passamante

  3. Department of Physiology and Biochemistry, The Medical College of Pennsylvania, 3300 Henry Ave., 19129, Philadelphia, Pennsylvania, USA

    Paul E. Rapp

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© 1989 Plenum Press, New York

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Fraser, A.M. (1989). Measuring Complexity in Terms of Mutual Information. 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_11

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  • DOI: https://doi.org/10.1007/978-1-4757-0623-9_11

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-0625-3

  • Online ISBN: 978-1-4757-0623-9

  • eBook Packages: Springer Book Archive

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