Lossy Joint Source-Channel Coding in the Finite Blocklength Regime

This paper finds new tight finite-blocklength bounds for the best achievable lossy joint source-channel code rate, and demonstrates that joint source-channel code design brings considerable performance advantage over a separate one in the nonasymptotic regime. A joint source-channel code maps a bloc...

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Bibliographic Details
Published in:	IEEE transactions on information theory Vol. 59; no. 5; pp. 2545 - 2575
Main Authors:	Kostina, V., Verdu, S.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.05.2013 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Achievability Applied sciences Channel coding Codes Coding theory Coding, codes converse Dispersion Distortion measurement Exact sciences and technology finite blocklength regime Gaussian approximation Information theory Information, signal and communications theory joint source-channel coding (JSCC) Joints lossy source coding memoryless sources Normal distribution Probability rate-distortion theory Shannon theory Signal and communications theory Source coding Symbols Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Performance evaluation finite blocklength regime Channel capacity Probabilistic approach Source coding Dispersive channel Rate distortion theory Gaussian distribution n channel Lossy medium Shannon theory Joint source channel coding Information transmission Achievability Research and development memoryless sources Memoryless channel rate-distortion theory lossy source coding Distribution function converse joint source-channel coding (JSCC) Memoryless source
ISSN:	0018-9448, 1557-9654
Online Access:	Get full text
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