Title :
A strong converse for joint source-channel coding
Author :
Wang, Da ; Ingber, Amir ; Kochman, Yuval
Author_Institution :
EECS Dept., MIT, Cambridge, MA, USA
Abstract :
We consider a discrete memoryless joint source-channel setting. In this setting, if a source sequence is reconstructed with distortion below some threshold, we declare a success event. We prove that for any joint source-channel scheme, if this threshold lower (better) than the optimum average distortion, then the success probability approaches zero as the block length increases. Furthermore, we show that the probability has an exponential behavior, and evaluate the optimal exponent. Surprisingly, the best exponential behavior is attainable by a separation-based scheme.
Keywords :
combined source-channel coding; block length; discrete memoryless joint source-channel setting; exponential behavior; joint source-channel coding; separation based scheme; source sequence; success probability; Channel coding; Joints; Memoryless systems; Source coding; TV;
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2012.6283736