DocumentCode :
921824
Title :
Optimal coding with a single standard run length
Author :
Molinder, John I.
Volume :
20
Issue :
3
fYear :
1974
fDate :
5/1/1974 12:00:00 AM
Firstpage :
336
Lastpage :
343
Abstract :
The optimum single standard run lengths for a binary first-order Markov source are derived and extended to multilevel first-order Markov sources. Maximization of the compression ratio is used as the criterion of optimality. When the output symbols are block coded, the optimal single standard run length n_i for each symbol is shown to satisfy an implicit equation of the form (n_i - 1)(-\\ln q_{ii}) = 1 - q_{ii}^ {n_i} , where q_{ii} is a transition probability. An expression for the overall compression ratio is derived for the binary case, and a comparison is made with enumerative source encoding. Compression ratio maxima are found by computer search for the binary independent source when the output symbols are subsequently Huffman coded, and a comparison of this scheme with ordinary run-length and source-extension coding is given.
Keywords :
Markov processes; Run-length coding; Source coding; Code standards; Data compression; Equations; Propulsion; Space technology;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1974.1055235
Filename :
1055235
Link To Document :
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