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
Link To Document :
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