Processor Structure for the Detection of a Sinusoid Signal Obscured by White Noise

Abstract

Currently employed methods for the detection of a sinusoid obscured by white noise are related to three classical problems of detection theory. The discrete Fourier transform, the power spectrum, and the averaged power spectrum each are shown to be the optimal processor (in the sense of making a least-risk decision) for a particular signal model.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1976
Accession Number
ADA033333

Entities

People

  • William Hodgkiss

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Detection
  • Detectors
  • Digital Signal Processing
  • Discrete Fourier Transforms
  • Electronics Laboratories
  • False Alarms
  • Frequency
  • Information Theory
  • Order Statistics
  • Power Spectra
  • Probability
  • Probability Density Functions
  • Random Variables
  • Signal Processing
  • Statistics
  • Warning Systems
  • White Noise

Readers

  • Approximation Theory.
  • Operations Research
  • Spectroscopy.