Likelihood-Ratio Detection of Stochastic Signals.

Abstract

Algorithms are given for the detection of a general stochastic signal imbedded in Gaussian or nonGaussian spherically-invariant noise. A summary is given of the theoretical development leading to the algorithms, along with the approximations leading to the algorithms. Adaptive and nonadaptive algorithms are described, along with specific procedures for their implementation.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1989
Accession Number
ADA235652

Entities

People

  • A. F. Gualtierotti
  • C. R. Baker

Organizations

  • University of North Carolina at Chapel Hill

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Detection
  • Differential Equations
  • Filtration
  • Gaussian Noise
  • Gaussian Processes
  • Hilbert Space
  • Information Science
  • Mathematical Models
  • Probabilistic Models
  • Probability Distributions
  • Random Variables
  • Signal Detection
  • Stationary Processes
  • Statistics
  • Stochastic Processes

Fields of Study

  • Engineering

Readers

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