DocumentCode
1007952
Title
A complete sufficient statistic for finite-state Markov processes with application to source coding
Author
Wolfe, Laurence B. ; Chang, Chein-I
Author_Institution
US Gov., Washington, DC, USA
Volume
39
Issue
3
fYear
1993
fDate
5/1/1993 12:00:00 AM
Firstpage
1047
Lastpage
1049
Abstract
A complete sufficient statistic is presented for the class of all finite-state, finite-order stationary discrete Markov processes. This sufficient statistic is complete in the sense that it summarizes in entirety the whole of the relevant information supplied by any process sample. The sufficient statistic has application to source coding problems such as source matching and calculation of the rate distortion function
Keywords
Markov processes; encoding; statistical analysis; complete sufficient statistic; finite-order stationary discrete Markov processes; finite-state Markov processes; rate distortion function; source coding; source matching; Estimation theory; Government; Hypercubes; Markov processes; Probability; Rate-distortion; Source coding; Space stations; State-space methods; Statistics; Stochastic processes; Tellurium; US Government;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.256512
Filename
256512
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