Correlated sources help transmission over an arbitrarily varying channel

Ahlswede R, Cai N (1997)
IEEE TRANSACTIONS ON INFORMATION THEORY 43(4): 1254-1255.

Journal Article | Published | English

No fulltext has been uploaded

Author
Abstract
It is wed known that the deterministic code capacity (for the average error probability criterion) of an arbitrarily varying channel (AVC) either equals Its random code capacity or zero, Here it is shown that if two components of a correlated source are additionally available to the sender and receiver, respectively, the capacity always equals its random code capacity.
Publishing Year
ISSN
PUB-ID

Cite this

Ahlswede R, Cai N. Correlated sources help transmission over an arbitrarily varying channel. IEEE TRANSACTIONS ON INFORMATION THEORY. 1997;43(4):1254-1255.
Ahlswede, R., & Cai, N. (1997). Correlated sources help transmission over an arbitrarily varying channel. IEEE TRANSACTIONS ON INFORMATION THEORY, 43(4), 1254-1255.
Ahlswede, R., and Cai, N. (1997). Correlated sources help transmission over an arbitrarily varying channel. IEEE TRANSACTIONS ON INFORMATION THEORY 43, 1254-1255.
Ahlswede, R., & Cai, N., 1997. Correlated sources help transmission over an arbitrarily varying channel. IEEE TRANSACTIONS ON INFORMATION THEORY, 43(4), p 1254-1255.
R. Ahlswede and N. Cai, “Correlated sources help transmission over an arbitrarily varying channel”, IEEE TRANSACTIONS ON INFORMATION THEORY, vol. 43, 1997, pp. 1254-1255.
Ahlswede, R., Cai, N.: Correlated sources help transmission over an arbitrarily varying channel. IEEE TRANSACTIONS ON INFORMATION THEORY. 43, 1254-1255 (1997).
Ahlswede, Rudolf, and Cai, N. “Correlated sources help transmission over an arbitrarily varying channel”. IEEE TRANSACTIONS ON INFORMATION THEORY 43.4 (1997): 1254-1255.
This data publication is cited in the following publications:
This publication cites the following data publications:

Export

0 Marked Publications

Open Data PUB

Web of Science

View record in Web of Science®

Search this title in

Google Scholar