Joint source-channel rate allocation in parallel channels

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

1 Scopus citations

Abstract

A novel rate-optimal rate allocation algorithm is proposed for parallel transmission of scalable images in multichannel systems. Scalable images are transmitted via fixed-length packets. The proposed algorithm selects a subchannel as well as a channel code rate for each packet, based on the signal-to-noise ratios (SNR) of the subchannels. The resulting scheme provides unequal error protection of source bits. Applications to JPEG2000 transmission show that significant UEP gains are achieved over equal error protection (EEP) schemes.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Visual Communications and Image Processing 2007
PublisherSPIE
EditionPART 1
ISBN (Print)0819466212, 9780819466211
DOIs
StatePublished - 2007
EventVisual Communications and Image Processing 2007 - San Jose, CA, United States
Duration: Jan 30 2007Feb 1 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
NumberPART 1
Volume6508
ISSN (Print)0277-786X

Other

OtherVisual Communications and Image Processing 2007
CountryUnited States
CitySan Jose, CA
Period1/30/072/1/07

Keywords

  • JPEG2000
  • Joint source/channel coding
  • Multicarrier/multichannel systems
  • UEP

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Pu, L., Marcellin, M. W., Djordjevic, I., Vasic, B., & Bilgin, A. (2007). Joint source-channel rate allocation in parallel channels. In Proceedings of SPIE-IS and T Electronic Imaging - Visual Communications and Image Processing 2007 (PART 1 ed.). [65081A] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6508, No. PART 1). SPIE. https://doi.org/10.1117/12.702605