DocumentCode :
3052380
Title :
Tradeoff between source and channel coding
Author :
Hochwald, Bertrand ; Zeger, Kenneth
Author_Institution :
Bell Labs., Lucent Technol., Murray Hill, NJ, USA
fYear :
1997
fDate :
29 Jun-4 Jul 1997
Firstpage :
335
Abstract :
A problem in the transmission of analog information across a noisy discrete channel is the choice of channel code rate that optimally allocates the available transmission rate between lossy source coding and block channel coding. We establish tight bounds on the channel code rate that minimizes the average distortion of a vector quantizer cascaded with a channel coder and a binary symmetric channel. Analytic expressions are derived in the cases when the bit error probability is small and, also, when the source vector dimension is large. The optimal channel code rate is often substantially smaller than the channel capacity, and we obtain a noisy-channel version of the Zador high-resolution distortion formula
Keywords :
channel capacity; channel coding; coding errors; error statistics; noise; probability; rate distortion theory; source coding; vector quantisation; Zador high-resolution distortion formula; analog information transmission; average distortion; binary symmetric channel; bit error probability; block channel coding; channel capacity; channel coder; lossy source coding; noisy channel; noisy discrete channel; optimal channel code rate; source vector dimension; tight bounds; transmission rate; vector quantizer; Channel capacity; Channel coding; Error probability; Hamming distance; Mathematics; Propagation losses; Source coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
Type :
conf
DOI :
10.1109/ISIT.1997.613264
Filename :
613264
Link To Document :
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