Binary Detection of Randomly Occurring Signals

Abstract

Use of binary moving-window techniques for detection of randomly occurring signals was investigated. Statistical decision methods appear to offer a means for implementing a reliable signal detection and processing system in a hostile, adverse, or unstable environment. The statistics of the moving-window detector can be obtained by direct computation, without resorting to Monte Carlo simulation; and are easily programmed for computer calculation.

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Document Details

Document Type
Technical Report
Publication Date
Nov 30, 1970
Accession Number
AD0878595

Entities

People

  • George M. Dillard

Organizations

  • Navy Electronics Laboratory

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computational Science
  • Data Processing
  • Delay Lines
  • Detection
  • Detectors
  • False Alarms
  • Information Science
  • Markov Processes
  • Monte Carlo Method
  • Probability
  • Random Variables
  • Shift Registers
  • Signal Detection
  • Signal Processing
  • Simulations
  • Stochastic Processes
  • Warning Systems

Readers

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