Vector quantization over Gaussian channels with memory

Venceslav Kafedziski, Darryl Morrell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations


The problem of transmission of a vector quantized Markov source over channels with memory is considered. A maximum a posteriori (MAP) symbol-by-symbol algorithm is used to obtain a soft decision VQ decoder that approximates the minimum mean-squared error estimate of the source vectors. The results obtained using this approach are compared to the results obtained using a hard decision VQ decoder. A simplified procedure is also introduced that is obtained by determining the channel transition matrix of an equivalent discrete memoryless channel, and then applying COVQ procedure for discrete memoryless channels. From the results, the soft decision decoder considerably improves reconstruction fidelity at low channel SNRs, and that COVQ further improves the performance.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Communications
Editors Anon
Place of PublicationPiscataway, NJ, United States
Number of pages5
StatePublished - 1995
EventProceedings of the 1995 IEEE International Conference on Communications. Part 1 (of 3) - Seattle, WA, USA
Duration: Jun 18 1995Jun 22 1995


OtherProceedings of the 1995 IEEE International Conference on Communications. Part 1 (of 3)
CitySeattle, WA, USA

ASJC Scopus subject areas

  • General Engineering


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