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On the α-Shiner–Davison–Landsberg Complexity Measure

  • Thomas L. TouliasEmail author
  • Christos P. Kitsos
Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)

Abstract

Shannon entropy is essential for the study of complex continuous systems as it forms various complexity measures. Shiner–Davison–Landsberg (SDL) complexity is such a measure used for the characterization of complex bio-systems, especially in the study of the EEG signals on epileptic seizures. We consider a continuous system whose various states can be described by a wide range of distributions provided by the family of the γ-ordered Normal distributions. Moreover, for the construction of the SDL measure of complexity we consider the generalized Shannon entropy derived via the generalized Fisher’s entropy type measure of information J α . The obtained α-SDL complexity is evaluated and studied with regards to the absolute complexity state, which is important in bio-systems.

Keywords

Fisher’s information measure Shannon entropy SDL complexity measure γ-Ordered normal distribution 

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.Technological Educational Institute of AthensEgaleoGreece

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