MAXIMUM-DISTANCE QUANTIZATION FOR DETECTION.

H. Vincent Poor, J. B. Thomas

Research output: Contribution to conferencePaperpeer-review

4 Scopus citations

Abstract

The problem of optimal quantization for detection is approached using signal selection techniques. Criteria are established for the optimal selection of quantizer parameters when Ali-Silvey distances are used as measures of goodness. Results are given for both binary and local (or small-signal) detection and, for the local case, this optimum is shown to be independent of the particular Ali-Silvey distance used. Examples are presented to illustrate these concepts in both the local and general cases.

Original languageEnglish (US)
Pages925-934
Number of pages10
StatePublished - Jan 1 1976
EventProc Annu Allerton Conf Circuit Syst Theory 14th - Monticello, IL, USA
Duration: Sep 29 1976Oct 1 1976

Other

OtherProc Annu Allerton Conf Circuit Syst Theory 14th
CityMonticello, IL, USA
Period9/29/7610/1/76

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint

Dive into the research topics of 'MAXIMUM-DISTANCE QUANTIZATION FOR DETECTION.'. Together they form a unique fingerprint.

Cite this