Detection of Short Transients in Colored Noise by Multiresolution Analysis

Abstract

Detecting short transients is a signal processing application that has a wide range of military uses. To be specific in Undersea Warfare, sensitive signal detection schemes can increase the effective range of active and passive sonar operations. Current research is being done to improve the capability of detecting short signals buried within background noise, particularly in Littoral waters. Starting with a colored noise model, this thesis will introduce two denoising methods based on multiresolution analysis and compare the results to current transient detection techniques. The goal of this thesis is not necessarily to replace current detection schemes, but rather to enhance them and thereby making the procedure more robust.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2000
Accession Number
ADA378873

Entities

People

  • John D. Stevens

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acoustic Detection
  • Acoustic Signals
  • Ambient Noise
  • Background Noise
  • Detection
  • Electrical Engineering
  • Frequency Bands
  • Graphical User Interface
  • Littoral Warfare
  • Naval Warfare
  • Noise
  • Signal Detection
  • Signal Processing
  • Sonar
  • Undersea Warfare
  • United States Naval Academy
  • Vector Spaces

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.
  • Image Processing and Computer Vision.
  • Joint Military Operations and Doctrine.