DocumentCode
3067385
Title
Markov lemma for countable alphabets
Author
Ho, Siu-Wai
Author_Institution
Inst. for Telecommun. Res., Univ. of South Australia, Mawson Lakes, SA, Australia
fYear
2010
fDate
13-18 June 2010
Firstpage
1448
Lastpage
1452
Abstract
Strong typicality and the Markov lemma have been used in the proofs of several multiterminal source coding theorems. Since these two tools can be applied to finite alphabets only, the results proved by them are subject to the same limitation. Recently, a new notion of typicality, namely unified typicality, has been defined. It can be applied to both finite or countably infinite alphabets, and it retains the asymptotic equipartition property and the structural properties of strong typicality. In this paper, unified typicality is used to derive a version of the Markov lemma which works on both finite or countably infinite alphabets so that many results in multiterminal source coding can readily be extended. Furthermore, a simple way to verify whether some sequences are jointly typical is shown.
Keywords
Markov processes; source coding; Markov lemma; asymptotic equipartition property; countable alphabet; multiterminal source coding; unified typicality; Australia; Channel coding; Codes; Entropy; Random variables; Rate-distortion; Source coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
Conference_Location
Austin, TX
Print_ISBN
978-1-4244-7890-3
Electronic_ISBN
978-1-4244-7891-0
Type
conf
DOI
10.1109/ISIT.2010.5513608
Filename
5513608
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