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Measures of complexity in wind direction

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the present paper an attempt has been made to utilise two different forms of complexity measures in directional change of wind. Two types of complexity measures are average mutual information and multifractal dimensions. Four sets of data have been studied. For each set, all the three measures have been calculated. From the results, a comparative study of the properties of the two measures of complexity vis-a-vis understanding the nature of complexity has been done.
Rocznik
Strony
207--214
Opis fizyczny
Bibliogr. 7 poz., rys., wykr.
Twórcy
autor
  • Indian Statistical Institute, 203, Barrackppore Trunk Road, Calcutta-700035, India
autor
  • Indian Statistical Institute, 203, Barrackppore Trunk Road, Calcutta-700035, India
Bibliografia
  • 1. A. CHANDA, J. DAS, Self-similarity in wind direction in turbulent atmosphere, J. Tech. Phys., 39, 2, 23-29, 1998.
  • 2. M. GELL-MANN, What is complexity?, Complexity, 1, 16-19, 1995.
  • 3. M. GELL-MANN, S. LLOYD, Information measures, effective complexity and total information, Complexity, 2, 44-52, 1996.
  • 4. T.C. HALSEY, M.H. JENSON, L.P. KADANOFF, I. PROCACCIA, B.I. SHRAIMAN, Physical Rev. A, 33, 2, 1141-1151, 1986.
  • 5. J.L. MCCAULEY, Introduction to multifractal in dynamical systems theory and fully developed turbulence, Physics Reports, 189, 5, 227-266, 1990.
  • 6. A.J. PALMER, C.W. FAIRALL, W.A. BREWER, Complexity in the atmosphere, IEEE Trans, on Geoscience and Remote Sensing, 38, 4, 2056-2063, 2000.
  • 7. C.E. SHANNON, W. WEAVER, Mathematical theory of communication, University of Illinois Press, Urbana 1949.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT5-0002-0043
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