Wavelet Transformations for Helicopter Identification via Acoustic Signatures

Abstract

The ability to classify helicopters based on their acoustic signature has applications to both detection and tracking. The current approach to this problem uses standard signal-processing techniques to extract features based on the fundamental harmonics of the helicopters' blades. This document examines the role that the wavelet transformation might play in this feature extraction process. It addresses ways to use the wavelet transform both to improve the performance of the existing approach and to expand the capabilities of the classification system. Wavelet transformations, Helicopter identification, Signal processing.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1994
Accession Number
ADA279980

Entities

People

  • Carey E. Priebe
  • George W. Rogers
  • Halford I. Hayes
  • Jeffrey L. Solka

Organizations

  • Naval Surface Warfare Center

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Acoustic Signatures
  • Artificial Intelligence
  • Classification
  • Detection
  • Discriminant Analysis
  • Extraction
  • Feature Extraction
  • Helicopters
  • Histograms
  • Identification
  • Image Processing
  • Naval Warfare
  • Signal Processing
  • Standards
  • Warfare
  • Wavelet Transforms

Fields of Study

  • Engineering

Readers

  • Aerospace Engineering
  • Image Processing and Computer Vision.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems