• DocumentCode
    3269192
  • Title

    A note on the estimation of string complexity for short strings

  • Author

    Speidel, Ulrich

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Auckland, Auckland, New Zealand
  • fYear
    2009
  • fDate
    8-10 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    While Kolmogorov´s well-known results show that absolute string complexity is not computable, its estimation is nevertheless of importance in fields such as randomness testing, data compression evaluation, similarity measurement and event detection. Several complexity estimators have been developed over the years, with the Lempel-Ziv parsers being the most prominent. The estimators´ asymptotic behaviour for long strings is generally compatible, but they differ considerably in the domain of short strings. Short strings are however exactly the kind of data encountered in many of the practical application areas. This paper proposes a method for evaluating the comparative performance of such estimators and presents experimental results for Lempel-Ziv parsers and a more recent estimator, the T-complexity.
  • Keywords
    computational complexity; grammars; Lempel Ziv parsers; T complexity; data compression evaluation; event detection; randomness testing; short strings; similarity measurement; string complexity estimation; Compression algorithms; Computer science; Data compression; Entropy; Event detection; Production; Proposals; Testing; Upper bound; Vocabulary; LZ77; LZ78; Lempel-Ziv production complexity; T-complexity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on
  • Conference_Location
    Macau
  • Print_ISBN
    978-1-4244-4656-8
  • Electronic_ISBN
    978-1-4244-4657-5
  • Type

    conf

  • DOI
    10.1109/ICICS.2009.5397536
  • Filename
    5397536