Performance Analysis of an Optimum Detector with Counting Point Process Observations,

Abstract

Tranformations of the classical hypothesis testing problem with continuous-time observations to a hypothesis testing problem with counting point process observations are considered. A general form for the random intensity rate (RIR) which can accommodate feedback is investigated and the optimal solution in the Neyman-Pearson sense is specified. An analysis of the performance of the corresponding optimum processor is studied. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1980
Accession Number
ADA100661

Entities

People

  • Aurel A Lazar
  • Stuart C. Schwartz

Organizations

  • Princeton University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Detection
  • Detectors
  • False Alarms
  • Information Science
  • Mathematics
  • Military Research
  • New Jersey
  • Observation
  • Probability
  • Universities
  • Warning Systems

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Statistical inference.