Signal Detection: Gaussian and Non-Gaussian Models with Nuisance Parameters.

Abstract

Signal detection problems are treated in the context of several Gaussian and non-Gaussian stochastic processes with one or more nuisance parameters. The techniques all entail a basic data transformation and the use of a Kolmogorov-type statistic on one or more components of the transformed data. Extraneous statistical noise and randomized rank statistics are employed. Numerical examples are given. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1982
Accession Number
ADA120827

Entities

People

  • C. B. Bell

Organizations

  • San Diego State University

Tags

DTIC Thesaurus Topics

  • Data Science
  • Data Sets
  • Detection
  • Detectors
  • Distribution Functions
  • Epilepsy
  • False Alarms
  • Information Science
  • Military Research
  • Order Statistics
  • Random Variables
  • Signal Detection
  • Statistical Samples
  • Statistics
  • Stochastic Processes

Readers

  • Statistical inference.
  • Systems Analysis and Design