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 language | English (US) |
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Pages | 319-323 |
Number of pages | 5 |
State | Published - 1997 |
Externally published | Yes |
Event | Proceedings of the 1997 IEEE International Conference on Communications, ICC. Part 3 (of 3) - Montreal, Can Duration: Jun 8 1997 → Jun 12 1997 |
Conference
Conference | Proceedings of the 1997 IEEE International Conference on Communications, ICC. Part 3 (of 3) |
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City | Montreal, Can |
Period | 6/8/97 → 6/12/97 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Electrical and Electronic Engineering