DocumentCode :
1178830
Title :
Joint Source–Channel Coding Excess Distortion Exponent for Some Memoryless Continuous-Alphabet Systems
Author :
Zhong, Yangfan ; Alajaji, Fady ; Campbell, L. Lorne
Author_Institution :
Dept. of Math. & Stat., Queen´´s Univ., Kingston, ON
Volume :
55
Issue :
3
fYear :
2009
fDate :
3/1/2009 12:00:00 AM
Firstpage :
1296
Lastpage :
1319
Abstract :
We investigate the joint source-channel coding (JSCC) excess distortion exponent EJ (the exponent of the probability of exceeding a prescribed distortion level) for some memoryless communication systems with continuous alphabets. We first establish upper and lower bounds for EJ for systems consisting of a memoryless Gaussian source under the squared-error distortion fidelity criterion and a memoryless additive Gaussian noise channel with a quadratic power constraint at the channel input. A necessary and sufficient condition for which the two bounds coincide is provided, thus exactly determining the exponent. This condition is observed to hold for a wide range of source-channel parameters. As an application, we study the advantage in terms of the excess distortion exponent of JSCC over traditional tandem (separate) coding for Gaussian systems. A formula for the tandem exponent is derived in terms of the Gaussian source and Gaussian channel exponents, and numerical results show that JSCC often substantially outperforms tandem coding. The problem of transmitting memoryless Laplacian sources over the Gaussian channel under the magnitude-error distortion is also carried out. Finally, we establish a lower bound for EJ for a certain class of continuous source-channel pairs when the distortion measure is a metric.
Keywords :
AWGN channels; combined source-channel coding; memoryless systems; probability; Gaussian source; JSCC distortion exponent; Laplacian sources; additive Gaussian noise channel; joint source-channel coding; magnitude-error distortion; memoryless continuous-alphabet system; squared-error distortion fidelity criterion; Additive noise; Channel coding; Communication systems; Discrete transforms; Distortion measurement; Gaussian channels; Gaussian noise; Laplace equations; Memoryless systems; Sufficient conditions; Continuous memoryless sources and channels; Fenchel duality; Fenchel transform; error exponent; excess distortion exponent; joint source–channel coding; memoryless Gaussian and Laplacian sources; memoryless Gaussian channels; probability of excess distortion; squared/magnitude-error distortion; tandem separate source and channel coding;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2008.2011436
Filename :
4787601
Link To Document :
بازگشت