Memory-Enhanced MMSE Decoding in Vector Quantization

Heng Iang Hsu*, Wen-Whei Chang, Xiaobei Liu, Soo Ngee Koh

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)2218-2222
Number of pages5
JournalIEICE Transactions on Information and Systems
VolumeE86-D
Issue number10
StatePublished - 1 Jan 2003

Keywords

  • Gilbert channel
  • MMSE decoding
  • Vector quantization

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