DocumentCode
1114601
Title
Speaking of infinity [i.i.d. strings]
Author
Orlitsky, Alon ; Santhanam, Narayana P.
Author_Institution
Dept. of Electr., Univ. of California, La Jolla, CA, USA
Volume
50
Issue
10
fYear
2004
Firstpage
2215
Lastpage
2230
Abstract
We study the redundancy of three approaches to compression of independent and identically distributed (i.i.d.) strings over large, possibly infinite, alphabets: standard compression of the string itself and compression of the string´s shape and pattern, which describe its symbols´ relative magnitude and precedence, respectively. We determine the rate at which per-symbol standard redundancy increases to infinity as the alphabet size increases, show that the maximum per-symbol shape redundancy is between 0.027 and 1, and compare these to results showing that per-symbol pattern redundancy diminishes to zero for all alphabet sizes. We relate these concepts to ordered and unordered partitions of integers and sets, and use this framework to explore relations between several combinatorial quantities, including the Bell, Fubini, and second-type Stirling numbers.
Keywords
binary sequences; combinatorial mathematics; entropy codes; pattern matching; redundancy; source coding; Bell number; Fubini number; alphabet size; alphabets; combinatorial quantity; i.i.d. strings; independent-identically distributed string; integer-set partition; persymbol standard redundancy; second-type Stirling number; strings pattern; symbols relative magnitude; Compression algorithms; Data compression; Encoding; Entropy; H infinity control; Image coding; Image converters; Information theory; Shape; Speech; Integer and set partitions; large and unknown alphabets; patterns; shapes; universal compression;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2004.834734
Filename
1337100
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