DocumentCode
640334
Title
A rate-distortion theory for permutation spaces
Author
Da Wang ; Mazumdar, Arya ; Wornell, Gregory W.
Author_Institution
EECS Dept., MIT, Cambridge, MA, USA
fYear
2013
fDate
7-12 July 2013
Firstpage
2562
Lastpage
2566
Abstract
We investigate the lossy compression of the permutation space by analyzing the trade-off between the size of a source code and the distortion with respect to either Kendall tau distance or ℓ1 distance of the inversion vectors. For both distortion measures, we characterize the rate-distortion functions and provide explicit code designs that achieve them. Finally, we provide bounds on the higher order terms in the codebook size when the distortion levels lead to degenerate code rates (0 or 1).
Keywords
rate distortion theory; source coding; Kendall tau distance; code rate generation; codebook size; distortion levels; distortion measures; explicit code designs; inversion vectors; lossy compression; permutation spaces; rate-distortion functions; rate-distortion theory; source code size; Chebyshev approximation; Manganese; Rate-distortion; Sorting; Tin; Upper bound; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location
Istanbul
ISSN
2157-8095
Type
conf
DOI
10.1109/ISIT.2013.6620689
Filename
6620689
Link To Document