DocumentCode
3049214
Title
Joint source-channel decoding of correlated sources over noisy channels
Author
Garcia-Frias, Javier
Author_Institution
Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
fYear
2001
fDate
2001
Firstpage
283
Lastpage
292
Abstract
We consider the case of two correlated binary information sequences. Instead of compressing the information using source coding, both sequences are independently channel encoded, and transmitted over an AWGN channel. The correlation between both sequences is exploited at the receiver, allowing reliable communications at signal to noise ratios very close to the theoretical limits established by the combination of Shannon and Slepian-Wolf theorems
Keywords
AWGN channels; binary sequences; combined source-channel coding; correlation methods; iterative decoding; turbo codes; AWGN channel; Slepian-Wolf theorem; binary information sequences; correlated sources; joint source-channel decoding; noisy channels; reliable communications; signal to noise ratio; AWGN channels; Additive white noise; Channel capacity; Channel coding; Decoding; Entropy; Gaussian noise; Information rates; Reliability theory; Source coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 2001. Proceedings. DCC 2001.
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
0-7695-1031-0
Type
conf
DOI
10.1109/DCC.2001.917159
Filename
917159
Link To Document