DocumentCode
1780184
Title
Strong converse and second-order asymptotics of channel resolvability
Author
Watanabe, Shigetaka ; Hayashi, Mariko
Author_Institution
Dept. of Inf. Sci. & Intell. Syst., Univ. of Tokushima, Tokushima, Japan
fYear
2014
fDate
June 29 2014-July 4 2014
Firstpage
1882
Lastpage
1886
Abstract
We study the problem of channel resolvability for fixed i.i.d. input distributions and discrete memoryless channels (DMCs), and derive the strong converse theorem for any DMCs that are not necessarily full rank. We also derive the optimal second-order rate under a condition. Furthermore, under the condition that a DMC has the unique capacity achieving input distribution, we derive the optimal second-order rate of channel resolvability for the worst input distribution.
Keywords
memoryless systems; channel resolvability; discrete memoryless channels; second order asymptotics; strong converse theorem; Approximation methods; Educational institutions; Electronic mail; Encoding; Manganese; Monte Carlo methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory (ISIT), 2014 IEEE International Symposium on
Conference_Location
Honolulu, HI
Type
conf
DOI
10.1109/ISIT.2014.6875160
Filename
6875160
Link To Document