Iterative joint design of source codes and multiresolution channel codes
- Creators
- Goldsmith, Andrea
- Effros, Michelle
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.
Additional Information
© Copyright 1997 IEEE. Reprinted with permission. [A.G. was] [s]upported in part by ONR grant NAV-5X-Nl49510861. [M.E. was] [s]upported in part by NSF CAREER Award MIP-9501977.Files
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Additional details
- Eprint ID
- 7428
- Resolver ID
- CaltechAUTHORS:GOLicc97
- Created
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2007-02-13Created from EPrint's datestamp field
- Updated
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2021-11-08Created from EPrint's last_modified field