DocumentCode
3513000
Title
Bounds for joint source-channel coding at high SNR
Author
Tridenski, Sergey ; Zamir, Ram
Author_Institution
Syst. Dept., Tel Aviv Univ., Tel Aviv, Israel
fYear
2011
fDate
July 31 2011-Aug. 5 2011
Firstpage
771
Lastpage
775
Abstract
Shannon´s capacity and rate-distortion function, combined with the separation principle, provide tight bounds for the minimum possible distortion in joint source-channel coding. These bounds, however, are usually achievable only in the limit of large block length. In their 1973 paper, Ziv and Zakai provide a family of alternative capacity and rate-distortion functions, based on functionals satisfying the data-processing inequality, which potentially give tighter bounds for systems with a small block length, e.g., for scalar modulation. We examine a recently proposed approximation for the Ziv-Zakai bounds based on the Rényi-divergence functional. For the specific case of a uniform source, we derive explicit bounds on the Ziv-Zakai-Rényi rate- distortion function, which prove this approximation in the limit of small distortion. Our results can be extended, using the same technique, to more general sources.
Keywords
approximation theory; combined source-channel coding; rate distortion theory; Rényi-divergence functional; Shannon´s capacity; Ziv-Zakai bound approximation; Ziv-Zakai-Rényi rate- distortion function; capacity function; data-processing inequality; joint source-channel coding; rate-distortion function; scalar modulation; separation principle; Encoding; Joints; Mutual information; Resource description framework; Signal to noise ratio;
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.2011.6034239
Filename
6034239
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