Robust vector quantization for channels with memory

Wen-Whei Chang*, H. I. Hsu

*Corresponding author for this work

Research output: Contribution to journalConference article

Abstract

This study presents a Hadamard framework for transmission of vector quantization data over noisy channels. In seeking faster response, we define classes of index assignments in terms of the Hadamard transform of channel transition probabilities. We also develop an index assignment algorithm that takes into account the intrinsic natures of channel error statistics, and illustrate its performance in vector quantization, of Gauss-Markov sources.

Original languageEnglish
Number of pages1
JournalIEEE International Symposium on Information Theory - Proceedings
DOIs
StatePublished - 12 Sep 2001
Event2001 IEEE International Symposium on Information Theory (ISIT 2001) - Washington, DC, United States
Duration: 24 Jun 200129 Jun 2001

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