To code or not to code

Author

Gastpar, Michael ; Rimoldi, Bixio ; Vetterli, Martin

Author_Institution

Dept. of Commun. Syst., Swiss Fed. Inst. of Technol., Lausanne, Switzerland

fYear

2000

fDate

2000

Firstpage

236

Abstract

The theory and practice of digital communication during the past 50 years has been strongly influenced by Shannon´s separation theorem. While it is conceptually and practically appealing to separate source from channel coding, either step requires infinite delay in general for optimal performance. On the other extreme is uncoded transmission, which has no delay but is suboptimal in general. In this paper, necessary and sufficient conditions for the optimality of uncoded transmission are shown. These conditions allow the construction of arbitrary examples of optimal uncoded transmission (beyond the well-known Gaussian example)

Keywords

channel coding; delays; digital communication; memoryless systems; optimisation; source coding; Shannon´s separation theorem; channel coding; delay; digital communication; discrete time memoryless source; optimal performance; optimality; source coding; uncoded transmission; Channel coding; Communication systems; Cost function; Delay; Density measurement; Distortion measurement; Mutual information; Random variables; Rate-distortion; Sufficient conditions;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory, 2000. Proceedings. IEEE International Symposium on

Conference_Location

Sorrento

Print_ISBN

0-7803-5857-0

Type

conf

DOI

10.1109/ISIT.2000.866534

Filename

866534