Memory efficient adaptation of vector quantizers to time-varying channels
Signal Processing - From signal processing theory to implementation
Soft-Decoding SOM for VQ Over Wireless Channels
Neural Processing Letters
COVQ for MAP hard-decision demodulated channels
IEEE Communications Letters
Index assignment optimization for joint source-channel MAP decoding
IEEE Transactions on Communications
| Hi-index | 754.84 |
We provide a general treatment of optimal soft decoding for vector quantization over noisy channels with finite memory. The main result is a recursive implementation of optimal decoding. We also consider an approach to suboptimal decoding, of lower complexity, being based on a generalization of the Viterbi algorithm. Finally, we treat the problem of combined encoder-decoder design. Simulations compare the new decoders to a decision-based approach that uses Viterbi detection plus table lookup decoding. Optimal soft decoding significantly outperforms the benchmark decoder. The introduced suboptimal decoder is able to perform close to the optimal and to outperform the benchmark scheme at a comparable complexity