DocumentCode :
913167
Title :
Entropy and data compression (Corresp.)
Author :
Tzannes, N.
Volume :
16
Issue :
1
fYear :
1970
fDate :
1/1/1970 12:00:00 AM
Firstpage :
74
Lastpage :
75
Abstract :
An optimum compression ratio (OCR) is defined for a source, leading to "efficiency" of a compression algorithm and resulting in a good evaluation of data-compression schemes. Applications to first- and second-order Markov sources, in conjunction with the "fan" and "zero-order hold" compression schemes, are also presented.
Keywords :
Source coding; Compression algorithms; Data compression; Entropy; Optical character recognition software; Quantization; Random variables; Statistical distributions; Statistics;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1970.1054391
Filename :
1054391
Link To Document :
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