DocumentCode :
2002933
Title :
Conditional Lempel-Ziv complexity and its application to source coding theorem with side information
Author :
Uyematsu, Tomohiko ; Kuzuoka, Shigeaki
Author_Institution :
Dept. of Commun. & Integrated Syst., Tokyo Inst. of Technol., Japan
fYear :
2003
fDate :
29 June-4 July 2003
Firstpage :
142
Abstract :
This paper proposes the conditional LZ complexity and analyzes its property. Especially, we show an inequality corresponding to Ziv´s inequality concerning a distinct parsing of a pair of sequences. Further, as a byproduct of the result, we show a simple proof of the asymptotical optimality of Ziv´s universal source coding algorithm with side information.
Keywords :
data compression; source coding; Ziv inequality; conditional Lempel-Ziv complexity; source coding algorithm; Entropy; Information theory; Probability distribution; Random number generation; Random variables; Source coding; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2003. Proceedings. IEEE International Symposium on
Print_ISBN :
0-7803-7728-1
Type :
conf
DOI :
10.1109/ISIT.2003.1228156
Filename :
1228156
Link To Document :
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