DocumentCode
923058
Title
A proof of the data compression theorem of Slepian and Wolf for ergodic sources (Corresp.)
Author
Cover, Thomas M.
Volume
21
Issue
2
fYear
1975
fDate
3/1/1975 12:00:00 AM
Firstpage
226
Lastpage
228
Abstract
If
is a sequence of independent identically distributed discrete random pairs with
, Slepian and Wolf have shown that the
process and the
process can be separately described to a common receiver at rates
and
hits per symbol if
. A simpler proof of this result will be given. As a consequence it is established that the Slepian-Wolf theorem is true without change for arbitrary ergodic processes
and countably infinite alphabets. The extension to an arbitrary number of processes is immediate.
is a sequence of independent identically distributed discrete random pairs with
, Slepian and Wolf have shown that the
process and the
process can be separately described to a common receiver at rates
and
hits per symbol if
. A simpler proof of this result will be given. As a consequence it is established that the Slepian-Wolf theorem is true without change for arbitrary ergodic processes
and countably infinite alphabets. The extension to an arbitrary number of processes is immediate.Keywords
Data compression; Source coding; Application software; Convolutional codes; Data compression; Decoding; Error correction; Frequency; Laboratories; Pattern recognition; Telephony; Viterbi algorithm;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1975.1055356
Filename
1055356
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