An optimal distributed and adaptive source coding strategy using rate-compatible punctured convolutional codes

Jing Li, Hend Alqamzi

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

9 Citations (Scopus)

Abstract

A novel scheme exploiting rate-compatible punctured convolutional (RCPC) codes is proposed for distributed and adaptive source coding. The proposed scheme is based on the SF-ISF approach in [9]. It is simple, general, flexible, and provenly optimal. For the class of RCPC codes that are obtained from puncturing the parity bits of a recursive systematic convolutional (RSC) mother code, it is shown that an "optimal" codec exists where a single source encoder and a single source decoder can accommodate a set of different compression rates efficiently.

Original languageEnglish
Title of host publication2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication
PublisherInstitute of Electrical and Electronics Engineers Inc.
PagesIII685-III688
ISBN (Print)0780388747, 9780780388741
DOIs
Publication statusPublished - 2005
Event2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
Duration: Mar 18 2005Mar 23 2005

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
VolumeIII
ISSN (Print)1520-6149

Other

Other2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Country/TerritoryUnited States
CityPhiladelphia, PA
Period3/18/053/23/05

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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