DocumentCode
640232
Title
Second-order Slepian-Wolf coding theorems for non-mixed and mixed sources
Author
Nomura, Rika ; Te Sun Han
Author_Institution
Sch. of Network & Inf., Senshu Univ., Kanagawa, Japan
fYear
2013
fDate
7-12 July 2013
Firstpage
1974
Lastpage
1978
Abstract
The second-order achievable rate region in Slepian-Wolf source coding systems is investigated. The concept of second-order achievable rates, which enables us to make a finer evaluation of achievable rates, has already been introduced and analyzed for general sources in the single-user source coding problem. Accordingly, in this paper, we first define the second-order achievable rate region for the Slepian-Wolf coding system and establish the source coding theorem for general sources in the second-order sense. Moreover, we compute the explicit second-order achievable rate region for i.i.d. correlated sources with countably infinite alphabets and mixed correlated sources, respectively, using the relevant asymptotic normality.
Keywords
source coding; infinite alphabet; nonmixed sources; relevant asymptotic normality; second-order Slepian-Wolf coding theorem; second-order achievable rate region; single-user source coding problem; Decoding; Distribution functions; Gaussian distribution; Manganese; Source coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location
Istanbul
ISSN
2157-8095
Type
conf
DOI
10.1109/ISIT.2013.6620571
Filename
6620571
Link To Document