Signal Detection for Stochastic Processes with Stationary Independent Symmetric Increments

Abstract

For processes with stationary independent symmetric increments, several one-sample and 2-sample detection problems are treated. The statistical tools are based on minimal sufficient statistics and maximal statistical noise and employ rank-sum, sign, signed-rank and Kolmogorov-Smirnov statistics. Relevant point and interval estimation techniques are presented as are numerical examples illustrating the techniques.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1982
Accession Number
ADA121497

Entities

People

  • C. B. Bell
  • R. Ahmad

Organizations

  • San Diego State University

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computations
  • Data Science
  • Detection
  • Detectors
  • Discrete Distribution
  • Distribution Functions
  • False Alarms
  • Gaussian Processes
  • Information Science
  • Intervals
  • Probability
  • Random Variables
  • Random Walk
  • Signal Detection
  • Statistics
  • Stochastic Processes
  • Theorems

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Regression Analysis.