DocumentCode :
3269192
Title :
A note on the estimation of string complexity for short strings
Author :
Speidel, Ulrich
Author_Institution :
Dept. of Comput. Sci., Univ. of Auckland, Auckland, New Zealand
fYear :
2009
fDate :
8-10 Dec. 2009
Firstpage :
1
Lastpage :
5
Abstract :
While Kolmogorov´s well-known results show that absolute string complexity is not computable, its estimation is nevertheless of importance in fields such as randomness testing, data compression evaluation, similarity measurement and event detection. Several complexity estimators have been developed over the years, with the Lempel-Ziv parsers being the most prominent. The estimators´ asymptotic behaviour for long strings is generally compatible, but they differ considerably in the domain of short strings. Short strings are however exactly the kind of data encountered in many of the practical application areas. This paper proposes a method for evaluating the comparative performance of such estimators and presents experimental results for Lempel-Ziv parsers and a more recent estimator, the T-complexity.
Keywords :
computational complexity; grammars; Lempel Ziv parsers; T complexity; data compression evaluation; event detection; randomness testing; short strings; similarity measurement; string complexity estimation; Compression algorithms; Computer science; Data compression; Entropy; Event detection; Production; Proposals; Testing; Upper bound; Vocabulary; LZ77; LZ78; Lempel-Ziv production complexity; T-complexity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on
Conference_Location :
Macau
Print_ISBN :
978-1-4244-4656-8
Electronic_ISBN :
978-1-4244-4657-5
Type :
conf
DOI :
10.1109/ICICS.2009.5397536
Filename :
5397536
Link To Document :
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