TY - GEN
T1 - The adversarial joint source-channel problem
AU - Kochman, Yuval
AU - Mazumdar, Arya
AU - Polyanskiy, Yury
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84867524683&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867524683&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2012.6283735
DO - 10.1109/ISIT.2012.6283735
M3 - Conference contribution
AN - SCOPUS:84867524683
SN - 9781467325790
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2112
EP - 2116
BT - 2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012
T2 - 2012 IEEE International Symposium on Information Theory, ISIT 2012
Y2 - 1 July 2012 through 6 July 2012
ER -