Title :
Mutual information and mean square error
Author_Institution :
Sch. for Inf. & Sci., Nagoya Univ., Japan
Abstract :
We derive some information theoretic inequalities in order to evaluate the channel capacity and mean square error. We prove an inequality for the capacity of an additive noise channel with feedback. We also prove an inequality for mutual information and mean square error. The inequality is applied to bound the minimum mean square transmission errors
Keywords :
channel capacity; error analysis; feedback; noise; additive noise channel; channel capacity; feedback; information theoretic inequalities; mean square error; minimum mean square transmission errors; mutual information; Mean square error methods; Mutual information;
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
DOI :
10.1109/ISIT.1995.531865
