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