Memoryless Quantizer-Detectors for Constant Signals in m-Dependent Noise

H. Vincent Poor, John B. Thomas

Research output: Contribution to journalArticle

14 Scopus citations

Abstract

The performance and design of data quantizers for use in memoryless discrete-time detection systems operating with dependent samples is considered. This problem is approached on a large-sample-size small-signal basis, and m-dependence is used to model the dependence structure among data samples. By considering the particular situation of detecting known constant signals in additive noise, previous results for memoryless detector analysis are applied to derive expressions for the evaluation of quantizer-detector performance for this situation. Design criteria are established for the optimum selection of quantizer parameters, and these are seen to be generalizations of earlier designs for the corresponding independent sampling case.

Original languageEnglish (US)
Pages (from-to)423-432
Number of pages10
JournalIEEE Transactions on Information Theory
Volume26
Issue number4
DOIs
StatePublished - Jan 1 1980
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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