• DocumentCode
    468282
  • Title

    Improved Lempel-Ziv Algorithm Based on Complexity Measurement of Short Time Series

  • Author

    Liu, Feng-Tao ; Tang, Yong

  • Author_Institution
    Donghua Univ., Shanghai
  • Volume
    2
  • fYear
    2007
  • fDate
    24-27 Aug. 2007
  • Firstpage
    771
  • Lastpage
    776
  • Abstract
    The Lempel-Ziv algorithm is not fully suitable for measuring the complexity of short series. When the Lempel-Ziv algorithm is applied, the assumption that the sequence must be long enough is always ignored: the series length is usually too large, and the equi-probability assumption also is not considered in some papers. Based on these facts, the universal algorithm of trial and error is presented when the conditions of different sequence lengths and different symbol probabilities are comprehensively considered. The facts that the overvaluation would occur in measuring normalized complexity of short sequences with the original Lempel-Ziv algorithm and obtained results through improved Lempel-Ziv algorithm more in accord with the reality are testified by virtue of tests of ultra-short series, logistic equation of different state, observed traffic flow.
  • Keywords
    computational complexity; logistics; probability; time series; traffic; Lempel-Ziv algorithm; complexity measurement; equi-probability assumption; logistic equation; short time series; symbol probabilities; traffic flow; trial and error algorithm; Biology; Current measurement; Differential equations; Fluid flow measurement; Fractals; Fuzzy systems; Logistics; Testing; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2874-8
  • Type

    conf

  • DOI
    10.1109/FSKD.2007.357
  • Filename
    4406180