Title :
A framework for information inequalities
Author :
Yeung, Raymond W.
Author_Institution :
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
fDate :
29 Jun-4 Jul 1997
Abstract :
For information inequalities, we refer to those involving only Shannon´s information measures for discrete random variables. These inequalities play a central role in converse coding theorems for problems with discrete alphabets in information theory. This work is devoted to a systematic study of these inequalities
Keywords :
encoding; information theory; random processes; Shannon´s information measures; converse coding theorems; discrete alphabets; discrete random variables; information inequalities; Calculus; Codes; Cramer-Rao bounds; Entropy; Information theory; Linear matrix inequalities; Random variables; Testing; Vectors;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.613185
