Index assignment in vector quantisation for channels with memory

Wen-Whei Chang*, H. I. Hsu

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

The study presents a formulation of a Hadamard framework for analysing the vector quantisation over channels with memory. In seeking faster response, classes of index assignments are defined in terms of the Hadamard transform of channel transition probabilities. An index assignment algorithm is developed that achieves high robustness against channel errors, and its performance in vector quantisation of Gauss-Markov sources under noisy channel conditions is illustrated.

Original languageEnglish
Pages (from-to)162-167
Number of pages6
JournalIEE Proceedings: Vision, Image and Signal Processing
Volume149
Issue number3
DOIs
StatePublished - 1 Jun 2002

Fingerprint Dive into the research topics of 'Index assignment in vector quantisation for channels with memory'. Together they form a unique fingerprint.

  • Cite this