DocumentCode :
923685
Title :
Random coding strategies for minimum entropy
Author :
Posner, Edward C.
Volume :
21
Issue :
4
fYear :
1975
fDate :
7/1/1975 12:00:00 AM
Firstpage :
388
Lastpage :
391
Abstract :
This paper proves that there exists a fixed random coding Strategy for block coding a memoryless information source to achieve the absolute epsilon entropy of the source. That is, the strategy can be chosen independent of the block length. The principal new tool is an easy result on the semicontinuity of the relative entropy functional of one probability distribution with respect to another. The theorem generalizes a result from rate-distortion theory to the "zero-infinity" case.
Keywords :
Block codes; Entropy functions; Rate-distortion theory; Source coding; Block codes; Context modeling; Convergence; Entropy; Extraterrestrial measurements; Loss measurement; Memory; Mutual information; Probability distribution; Rate-distortion;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1975.1055416
Filename :
1055416
Link To Document :
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