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
Link To Document :
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