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