• DocumentCode
    147020
  • Title

    Space Efficient Linear Time Lempel-Ziv Factorization for Small Alphabets

  • Author

    Goto, Keisuke ; Bannai, H.

  • Author_Institution
    Dept. of Inf., Kyushu Univ., Fukuoka, Japan
  • fYear
    2014
  • fDate
    26-28 March 2014
  • Firstpage
    163
  • Lastpage
    172
  • Abstract
    We present a new linear time algorithm for computing the Lempel-Ziv Factorization (LZ77) of a given string of length N on an alphabet of size σ, that utilizes only N log N + O(σ log N) bits of working space. When the alphabet size is small, this greatly improves the previous best space requirement for linear time LZ77 factorization (Karkkainen et al. CPM 2013), which is 2N log N bits, i.e. two integer arrays of length N. Experiments show that despite the added complexity of the algorithm, the speed of the algorithm is only around two to three times slower than previous fastest linear time algorithms.
  • Keywords
    computational linguistics; programming languages; LZ77; linear time algorithm; programming language; small alphabets; space efficient linear time Lempel-Ziv factorization; working space; Arrays; Complexity theory; Data compression; Encoding; Memory management; Partitioning algorithms; Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference (DCC), 2014
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Type

    conf

  • DOI
    10.1109/DCC.2014.62
  • Filename
    6824424