Iterative joint design of source codes and multiresolution channel codes

Andrea Goldsmith, Michelle Effros

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

We propose an iterative design algorithm for jointly optimizing source and channel codes. The joint design combines channel-optimized vector quantization (COVQ) for the source code with rate-compatible punctured convolutional (RCPC) coding for the channel code. Our objective is to minimize the average end-to-end distortion. For a given channel SNR and transmission rate, our joint source and channel code design achieves an optimal allocation of bits between the source and channel coders. This optimal allocation can reduce distortion by up to 6 dB over suboptimal allocations for the source data set considered. We also compare the distortion of our joint iterative design with that of two suboptimal design techniques: COVQ optimized for a given channel bit-error-probability, and RCPC channel coding optimized for a given vector quantizer. We conclude by relaxing the fixed transmission rate constraint and jointly optimizing the transmission rate, source code, and channel code.

Original languageEnglish (US)
Pages319-323
Number of pages5
StatePublished - 1997
Externally publishedYes
EventProceedings of the 1997 IEEE International Conference on Communications, ICC. Part 3 (of 3) - Montreal, Can
Duration: Jun 8 1997Jun 12 1997

Conference

ConferenceProceedings of the 1997 IEEE International Conference on Communications, ICC. Part 3 (of 3)
CityMontreal, Can
Period6/8/976/12/97

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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