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University of Illinois at Urbana-Champaign

Quantization for Noisy Channels Using Structured Codes

Abstract

dc:description

Necessary conditions for the optimality of binary lattice vector quantizers with respect to the mean squared error distortion criterion are derived for both noiseless and noisy discrete memoryless channels.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Electrical Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mehes, Andras
Contributors dc:contributor
  • Kenneth Zeger

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI9912320
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/81269

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Mehes, Andras. Quantization for Noisy Channels Using Structured Codes. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/81269