DocumentCode :
3507087
Title :
Characterizing compressibility with Lorenz curves
Author :
Weidmann, Claudio
Author_Institution :
ETIS, Univ. Cergy-Pontoise, Cergy-Pontoise, France
fYear :
2011
fDate :
July 31 2011-Aug. 5 2011
Firstpage :
2228
Lastpage :
2232
Abstract :
This paper revisits earlier work on rate distortion behavior of sparse sources, namely it highlights the fact that a graphical sparsity characterization proposed in [1] is a Lorenz curve, a tool for summarizing income inequality that has been used by economists for over a century. The Lorenz curve associated to a memoryless source can be used to obtain upper bounds on the distortion rate function, thus characterizing source compressibility. It is shown that an order relation on Lorenz curves induces an analogous relation on distortion rate upper bounds. This can be used to characterize the compressibility of certain parametric families of source distributions, for which an order on the parameters induces an order on Lorenz curves.
Keywords :
Lorenz number; data compression; sparse matrices; Lorenz curves; compressibility; distortion rate function; graphical sparsity characterization; memoryless source; rate distortion behavior; sparse sources; Distortion measurement; Entropy; Random variables; Rate distortion theory; Rate-distortion; Source coding; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
Conference_Location :
St. Petersburg
ISSN :
2157-8095
Print_ISBN :
978-1-4577-0596-0
Electronic_ISBN :
2157-8095
Type :
conf
DOI :
10.1109/ISIT.2011.6033956
Filename :
6033956
Link To Document :
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