Optimal rate allocation for entropy-coded uniform scalar quantization of dependent sources in nonbinary hypothesis testing

Research output: Contribution to journalArticle

Abstract

We propose a closed-form rate allocation scheme (RAS) for entropy-coded uniform scalar quantization of dependent sources in classification problems. The proposed RAS is applicable to nonbinary classification with piecewise monotonic unquantized Bayes decision boundaries. The RAS is also extended to joint compression and classification.

Original languageEnglish (US)
Article number5397889
Pages (from-to)16-20
Number of pages5
JournalIEEE Transactions on Communications
Volume58
Issue number1
DOIs
StatePublished - Jan 2010

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Entropy
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Keywords

  • Entropy-coded uniform scalar quantization
  • Joint compression and classification
  • Nonbinary classification
  • Rate allocation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

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abstract = "We propose a closed-form rate allocation scheme (RAS) for entropy-coded uniform scalar quantization of dependent sources in classification problems. The proposed RAS is applicable to nonbinary classification with piecewise monotonic unquantized Bayes decision boundaries. The RAS is also extended to joint compression and classification.",
keywords = "Entropy-coded uniform scalar quantization, Joint compression and classification, Nonbinary classification, Rate allocation",
author = "Ali Tabesh and Marcellin, {Michael W} and Neifeld, {Mark A}",
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