Joint source-channel coding of images using punctured convolutional codes and trellis-coded quantization

S. S. Channappayya, G. P. Abousleman, Lina Karam

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

3 Scopus citations

Abstract

This paper presents a wavelet-based image coder for transmission over the binary symmetric channel (BSC). The proposed coder achieves error resilience by using a joint source-channel coding strategy. The coder uses trellis-coded quantization (TCQ) for source coding, and punctured convolutional (PC) codes for channel coding. The total available bit rate is partitioned into source coding rate and channel coding rate, so as to achieve optimal performance at the given BER.

Original languageEnglish (US)
Title of host publicationISCAS 2001 - 2001 IEEE International Symposium on Circuits and Systems, Conference Proceedings
PublisherIEEE Computer Society
Pages133-136
Number of pages4
ISBN (Print)0780366859, 9780780366855
DOIs
StatePublished - Jan 1 2001
Event2001 IEEE International Symposium on Circuits and Systems, ISCAS 2001 - Sydney, NSW, Australia
Duration: May 6 2001May 9 2001

Publication series

NameISCAS 2001 - 2001 IEEE International Symposium on Circuits and Systems, Conference Proceedings
Volume5

Conference

Conference2001 IEEE International Symposium on Circuits and Systems, ISCAS 2001
CountryAustralia
CitySydney, NSW
Period5/6/015/9/01

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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    Channappayya, S. S., Abousleman, G. P., & Karam, L. (2001). Joint source-channel coding of images using punctured convolutional codes and trellis-coded quantization. In ISCAS 2001 - 2001 IEEE International Symposium on Circuits and Systems, Conference Proceedings (pp. 133-136). [922003] (ISCAS 2001 - 2001 IEEE International Symposium on Circuits and Systems, Conference Proceedings; Vol. 5). IEEE Computer Society. https://doi.org/10.1109/iscas.2001.922003