New structured quantizer for sources with memory

Rajiv Laroia, Cheng Chich Lee, Nariman Farvardin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Recently, Laroia and Farvardin have proposed a fixed-rate trellis-based scalar-vector quantizer (TB-SVQ) which realizes both boundary and granular gains. The TB-SVQ is the dual of optimally-shaped trellis-coded constellation for transmission over memoryless channels. In this paper, the authors combine the TB-SVQ idea and a cited precoding idea to develop a quantization scheme for correlated sources.

Original languageEnglish
Title of host publicationProceedings of the 1993 IEEE International Symposium on Information Theory
Pages169
Number of pages1
StatePublished - 1993
EventProceedings of the 1993 IEEE International Symposium on Information Theory - San Antonio, TX, USA
Duration: 17 Jan 199322 Jan 1993

Publication series

NameProceedings of the 1993 IEEE International Symposium on Information Theory

Conference

ConferenceProceedings of the 1993 IEEE International Symposium on Information Theory
CitySan Antonio, TX, USA
Period17/01/9322/01/93

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