Finite-state vector quantization over noisy channels

Yunus Hussain, Nariman Farvardin

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

Abstract

A finite-state vector quantizer (FSVQ) is a finite-state machine used for data compression. An FSQV can be viewed as a collection of memoryless vector quantizers where each input vector is encoded using a VQ associated with the current encoder state. In this paper, the authors propose two modified FSQV systems (NC-FSVQ1 and NC-FSVQ2) that are robust to channel noise.

Original languageEnglish
Title of host publicationProceedings of the 1993 IEEE International Symposium on Information Theory
Pages392
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

Fingerprint

Dive into the research topics of 'Finite-state vector quantization over noisy channels'. Together they form a unique fingerprint.

Cite this