Title :
Tradeoff between source and channel coding
Author :
Hochwald, Bertrand ; Zeger, Kenneth
Author_Institution :
Bell Labs., Lucent Technol., Murray Hill, NJ, USA
fDate :
9/1/1997 12:00:00 AM
Abstract :
A fundamental 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 two cases of interest: small bit-error probability and arbitrary source vector dimension; arbitrary bit-error probability and large source vector dimension. We demonstrate that the optimal channel code rate is often substantially smaller than the channel capacity, and obtain a noisy-channel version of the Zador (1982) high-resolution distortion formula
Keywords :
block codes; channel capacity; channel coding; coding errors; noise; probability; source coding; vector quantisation; analog information transmission; available transmission rate; average distortion; binary symmetric channel; bit error probability; block channel coding; channel coder; high resolution distortion formula; lossy source coding; noisy discrete channel; optimal channel code rate; source vector dimension; tight bounds; vector quantizer; Channel capacity; Channel coding; Error probability; Hamming distance; Nearest neighbor searches; Probability density function; Propagation losses; Redundancy; Source coding; Vector quantization;
Journal_Title :
Information Theory, IEEE Transactions on