Optimal quantization for distributed estimation via a multiple access channel

Tolga M. Duman, Masoud Salehi

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

Abstract

Quantizer design algorithms for decentralized estimation are presented. Scalar quantizer design for the problem of multiple descriptions over a multiple-access channel is also studied. The importance of the initial index assignment is explained and an algorithm to choose a good initial index assignment is derived.

Original languageEnglish (US)
Title of host publicationIEEE International Symposium on Information Theory - Proceedings
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages440
Number of pages1
StatePublished - 1995
Externally publishedYes
EventProceedings of the 1995 IEEE International Symposium on Information Theory - Whistler, BC, Can
Duration: Sep 17 1995Sep 22 1995

Other

OtherProceedings of the 1995 IEEE International Symposium on Information Theory
CityWhistler, BC, Can
Period9/17/959/22/95

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics
  • Modeling and Simulation
  • Theoretical Computer Science
  • Information Systems

Cite this

Duman, T. M., & Salehi, M. (1995). Optimal quantization for distributed estimation via a multiple access channel. In IEEE International Symposium on Information Theory - Proceedings (pp. 440). IEEE.