Finding the best mismatched detector for channel coding and hypothesis testing

Emmanuel Abbe, Muriel Médard, Sean Meyn, Lizhong Zheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

The mismatched-channel formulation is generalized to obtain simplified algorithms for computation of capacity bounds and improved signal constellation designs. The following issues are addressed: (i) For a given finite dimensional family of linear detectors, how can we compute the best in this class to maximize the reliably received rate? That is, what is the best mismatched detector in a given class? (ii) For computation of the best detector, a new algorithm is proposed based on a stochastic approximation implementation of the Newton-Raphson method. (iii) The geometric setting provides a unified treatment of channel coding and robust/adaptive hypothesis testing.

Original languageEnglish (US)
Title of host publication2007 Information Theory and Applications Workshop, Conference Proceedings, ITA
Pages284-288
Number of pages5
DOIs
StatePublished - Dec 1 2007
Externally publishedYes
Event2007 Information Theory and Applications Workshop, ITA - San Diego, CA, United States
Duration: Jan 29 2007Feb 2 2007

Publication series

Name2007 Information Theory and Applications Workshop, Conference Proceedings, ITA

Other

Other2007 Information Theory and Applications Workshop, ITA
CountryUnited States
CitySan Diego, CA
Period1/29/072/2/07

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management

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