Asymptotically robust quantization for detection

H. Vincent Poor, John B. Thomas

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

The problem of designing quantizer-detectors whose performance is insensitive to small deviations in noise statistics is considered. The problem is approached on a small -signal asymptotic basis using the Huber-Tukey [1] contaminated density class to model the noise. By applying a formulation originally noted by Martin and Schwartz, it is shown that the proposed robust quantizer has properties exhibited by established robust procedures. As an example, results are presented for the case of contaminated Gaussian noise for various degrees of contamination.

Original languageEnglish (US)
Pages (from-to)222-229
Number of pages8
JournalIEEE Transactions on Information Theory
Volume24
Issue number2
DOIs
StatePublished - Mar 1978

All Science Journal Classification (ASJC) codes

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

Fingerprint Dive into the research topics of 'Asymptotically robust quantization for detection'. Together they form a unique fingerprint.

Cite this