DocumentCode
3208839
Title
Lower bounds on the rate-distortion function of individual LDGM codes
Author
Kudekar, Shrinivas ; Urbanke, Rüdiger
Author_Institution
Sch. of Comput. & Commun. Sci., Ecole Polytech. Fed. de Lausanne, Lausanne
fYear
2008
fDate
1-5 Sept. 2008
Firstpage
379
Lastpage
384
Abstract
We consider lossy compression of a binary symmetric source by means of a low-density generator-matrix code. We derive two lower bounds on the rate distortion function which are valid for any low-density generator-matrix code with a given node degree distribution L(x) on the set of generators and for any encoding algorithm. These bounds show that, due to the sparseness of the code, the performance is strictly bounded away from the Shannon rate-distortion function. In this sense, our bounds represent a natural generalization of Gallagerpsilas bound on the maximum rate at which low-density parity-check codes can be used for reliable transmission. Our bounds are inspired by the recent work of Dimakis, Wainwright, and Ramchandran, but they apply to individual codes.
Keywords
data compression; encoding; parity check codes; rate distortion theory; Gallager bound; encoding algorithm; lossy compression; low-density generator-matrix code; low-density parity-check codes; node degree distribution; rate-distortion function; Belief propagation; Distributed computing; Iterative algorithms; Magnetic resonance; Parity check codes; Random variables; Rate distortion theory; Rate-distortion; Sparse matrices; Turbo codes;
fLanguage
English
Publisher
ieee
Conference_Titel
Turbo Codes and Related Topics, 2008 5th International Symposium on
Conference_Location
Lausanne
Print_ISBN
978-1-4244-2862-5
Electronic_ISBN
978-1-4244-2863-2
Type
conf
DOI
10.1109/TURBOCODING.2008.4658729
Filename
4658729
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