Methods to Extract Information from Noisy Data

Abstract

The long-term goal of this project is to detect weak random signals that have little or no known structure. Furthermore, this is intended to be accomplished in near-optimum fashion with practical realistic processor forms. The major scientific objective of this investigation is to maximize the processor s signal detection probability while maintaining a specified (low) false alarm probability. Furthermore, the losses of practical processors are to be compared with the fundamental detection limits possible in the noisy environment of interest. This work is supported by ONR Biological Oceanography (Code 322BC).

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1997
Accession Number
ADA634000

Entities

People

  • Albert H. Nuttall

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Background Noise
  • Detection
  • Detectors
  • Distribution Functions
  • Electronic Mail
  • False Alarms
  • Fast Fourier Transforms
  • Information Operations
  • Marine Biology
  • Noise
  • Probability
  • Probability Density Functions
  • Signal Detection
  • Undersea Warfare
  • Warfare
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Radar Systems Engineering.
  • Systems Analysis and Design