Wavelet Signal Processing for Transient Feature Extraction

Abstract

Research was conducted to evaluate the feasibility of applying Wavelets and Wavelet Transform methods to transient signal feature extraction problems. Wavelet transform techniques were developed to extract low dimensional feature data that allowed a simple classification scheme to easily separate the various signals of interest. Additional development of these techniques will lead to robust feature extraction methods for transient signals.

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Document Details

Document Type
Technical Report
Publication Date
Mar 15, 1992
Accession Number
ADA250519

Entities

People

  • Karl B. Jagler

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Band Structures
  • Classification
  • Computational Complexity
  • Detection
  • Detectors
  • Energy Bands
  • Equations
  • Extraction
  • Feature Extraction
  • Frequency
  • Frequency Domain
  • Frequency Response
  • Machine Learning
  • Signal Detection
  • Signal Processing
  • Very Large Scale Integration
  • Wavelet Transforms

Fields of Study

  • Engineering

Readers

  • Distributed Systems and Data Platform Development
  • Radar Systems Engineering.

Technology Areas

  • AI & ML