• DocumentCode
    3060088
  • Title

    Fractal compression rate curves in lossless compression of balanced trees

  • Author

    Oh, Sang-Youn ; Kieffer, J.C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    106
  • Lastpage
    110
  • Abstract
    Let α be an integer ≥ 2. We define a finite rooted oriented tree to be α-balanced if (1) there is no vertex with > α children, (2) for each vertex having exactly α children, the subtrees rooted at these children have numbers of leaves differing by at most 1, and (3) each child of each internal vertex with <; α children is a leaf. For each n ≥ 1, let Hα(n) be logarithm to base two of the number of α-balanced trees having n leaves, which is roughly the codeword length needed to losslessly compress these trees via fixed-length binary codewords. Let {{x}} J denote the fractional part of x. The compression rate curve Cα is defined to be the set of limit points of the set of points of form ({{logα n}}, Hα(n)/n). Two results about Cα are presented. The first result is that Cα is the graph of a unique real-valued nonconstant continuous function defined on [0,1]. The second result is that Cα is a 2-D fractal which is the attractor of an iterated function system S(α) consisting of α piecewise contractive 2-D mappings. For α = 2, 3, 4, we illustrate how a large number of points on Cα can be rapidly generated via S(α).
  • Keywords
    binary codes; data compression; graph theory; iterative methods; tree codes; α piecewise contractive 2D mappings; α-balanced trees; balanced tree lossless compression; codeword length; compression rate curve; finite rooted oriented tree; fixed-length binary codewords; fractal compression rate curves; iterated function system; real-valued nonconstant continuous function; Biological information theory; Biological system modeling; Collaboration; Data compression; Data structures; Entropy; Fractals; Information theory; Production; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513277
  • Filename
    5513277