An approach to minimum mean-squared error (MMSE) decoding for vector quantization over channels with memory is presented. The decoder is based on the Gilbert channel model that allows the exploitation of both intra- and interblock correlation of bit error sequences. We also develop a recursive algorithm for computing the a posteriori probability of a transmitted index sequence, and illustrate its performance in quantization of Gauss-Markov sources under noisy channel conditions.
|Number of pages||5|
|Journal||IEICE Transactions on Information and Systems|
|State||Published - 1 Jan 2003|
- Gilbert channel
- MMSE decoding
- Vector quantization