Title :
The adversarial joint source-channel problem
Author :
Kochman, Yuval ; Mazumdar, Arya ; Polyanskiy, Yury
Author_Institution :
Sch. of Comput. Sci. & Eng., Hebrew Univ. of Jerusalem, Jerusalem, Israel
Abstract :
This paper introduces the problem of joint source-channel coding in the setup where channel errors are adversarial and the distortion is worst case. Unlike the situation in the case of stochastic source-channel model, the separation principle does not hold in adversarial setup. This surprising observation demonstrates that designing good distortion-correcting codes cannot be done by serially concatenating good covering codes with good error-correcting codes. The problem of the joint code design is addressed and some initial results are offered.
Keywords :
channel coding; concatenated codes; error correction codes; source coding; stochastic processes; adversarial joint source-channel coding problem; channel error; distortion-correcting code; error-correcting code; separation principle; serially concatenating good covering code; stochastic source-channel model; Channel coding; Decoding; Error correction codes; Joints; Manganese; Stochastic processes;
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.2012.6283735