NDLI: On the joint source-channel coding error exponent for systems with memory

Content Provider	IEEE Xplore Digital Library
Author	Yangfan Zhong Alajaji, F. Campbell, L.L.
Copyright Year	2005
Description	Author affiliation: Dept. of Math. & Stat., Queen's Univ., Kingston, Ont. (Yangfan Zhong; Alajaji, F.; Campbell, L.L.)
Abstract	We establish an upper bound for the joint source-channel coding (JSCC) error exponent $E_{J}(Q,$ W) for a discrete stationary ergodic Markov (SEM) source Q and a discrete channel W with additive SEM noise. This bound, which is expressed in terms of the Renyi entropy rates of the source and noise processes, admits an identical form to Csiszar's sphere-packing upper bound for the JSCC error exponent for memoryless systems (I. Csiszar, Nov. 1982). In this regard, our result is a natural extension of Csiszar's upper bound of the JSCC error exponent from the case of memoryless systems to the case of SEM systems. We also investigate the analytical computation of $E_{J}(Q,W)$ by comparing our bound with Gallager's random-coding lower bound (R. G. Gallager, 1968), when the latter one is specialized to the SEM source-channel system
Starting Page	1386
Ending Page	1390
File Size	481043
Page Count	5
File Format	PDF
ISBN	0780391519
DOI	10.1109/ISIT.2005.1523570
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-04
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Upper bound Additive noise Mathematics Statistics Memoryless systems Entropy Channel coding Gaussian noise Rayleigh channels Quantization
Content Type	Text
Resource Type	Article

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