On Sequential Detection in Dependent Noise.

Abstract

The problem of designing memoryless sequential detection systems for constant signals in m-dependent noise processes is considered. Particular attention is given to the problem of antipodal signaling in an additive noise channel. Applying the criterion of minimum average sample size, the asymptotically optimal detector is shown to be characterized by the solution to a Fredholm integral equation. A paradox arising from the application of standard asymptotic analysis to this detection system is also considered. In addition, a numerical method and resulting solution to the integral equation or the Gaussian case is also given. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1980
Accession Number
ADA125836

Entities

People

  • Chien Kuo Chiang

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Data Science
  • Detection
  • Detectors
  • Electrical Engineering
  • Equations
  • Gaussian Noise
  • Information Science
  • Integral Equations
  • Integrals
  • Probability
  • Probability Density Functions
  • Radar
  • Random Variables
  • Sequences
  • Standards
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Statistical inference.