DocumentCode :
3118058
Title :
Lossy joint source-channel coding in the finite blocklength regime
Author :
Kostina, Victoria ; Verdú, Sergio
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
fYear :
2012
fDate :
1-6 July 2012
Firstpage :
1553
Lastpage :
1557
Abstract :
This paper shows new tight finite-blocklength bounds for the best achievable lossy joint source-channel code rate, and demonstrates that joint source-channel code design brings considerable performance advantage over a separate one in the non-asymptotic regime. A joint source-channel code maps a block of k source symbols onto a length - n channel codeword, and the fidelity of reproduction at the receiver end is measured by the probability ϵ that the distortion exceeds a given threshold d. For memoryless sources and channels, it is demonstrated that the parameters of the best joint source-channel code must satisfy nC - kR(d) ≈ √(nV + kV(d)) Q-1 (ϵ), where C and V are the channel capacity and dispersion, respectively; R(d) and V(d) are the source rate-distortion and rate-dispersion functions; and Q is the standard Gaussian complementary cdf.
Keywords :
channel coding; source coding; channel capacity; channel dispersion; finite blocklength regime; finite-blocklength bounds; lossy joint source-channel coding; memoryless channels; memoryless sources; non-asymptotic regime; rate-dispersion functions; source rate-distortion; source-channel code maps; standard Gaussian complementary cdf; Approximation methods; Channel coding; Decoding; Dispersion; Distortion measurement; Joints; Achievability; Shannon theory; converse; finite blocklength regime; joint source-channel coding; lossy source coding; memoryless sources; rate-distortion theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
ISSN :
2157-8095
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
Type :
conf
DOI :
10.1109/ISIT.2012.6283533
Filename :
6283533
Link To Document :
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