Title :
The empirical distribution of rate-constrained source codes
Author :
Weissman, Tsachy ; Ordentlich, Erik
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
fDate :
27 June-2 July 2004
Abstract :
This paper describes the empirical distribution of rate-constrained source codes. The existence of good code sequences with empirical distributions achieves the minimum mutual information in the rate distortion theory. A source code has entropy of capacity achieving convergence in channel input distributions.
Keywords :
channel capacity; convergence; entropy; rate distortion theory; source coding; channel input distribution; code capacity; code sequence; convergence; empirical distribution; entropy; mutual information; rate distortion theory; rate-constrained source code; Convergence; Entropy; Frequency; Heart; Laboratories; Milling machines; Mutual information; Rate distortion theory; Rate-distortion; Upper bound;
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN :
0-7803-8280-3
DOI :
10.1109/ISIT.2004.1365500
