Title :
Precise Asymptotic Analysis of the Tunstall Code
Author :
Drmota, Michael ; Reznik, Yuriy ; Savari, Serap A. ; Szpankowski, Wojciech
Author_Institution :
Inst. of Discrete Math. & Geometry, TU Wien
Abstract :
We study the Tunstall code using the machinery from the analysis of algorithms literature. In particular, we propose an algebraic characterization of the Tunstall code which, together with tools like the Mellin transform and the Tauberian theorems, leads to new results on the variance and a central limit theorem for dictionary phrase lengths. This analysis also provides a new argument for obtaining asymptotic results about the mean dictionary phrase length and average redundancy rates
Keywords :
algebraic codes; transforms; Mellin transform; Tauberian theorems; Tunstall code; algebraic characterization; asymptotic analysis; dictionary phrase length; dictionary phrase lengths; Algorithm design and analysis; Binary codes; Computational geometry; Computer science; Dictionaries; Entropy; Machinery; Mathematics; Minimax techniques; Visualization;
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
DOI :
10.1109/ISIT.2006.261984