Wavelet Packet Based Transient Signal Classification

Abstract

Non-stationary signals are not well suited for detection and classification by traditional Fourier methods. An alternate means of analysis needs to be employed so that valuable time-frequency information is not lost. The wavelet packet transform is one such time-frequency analysis tool. This paper summarizes which examine the feasibility of applying the wavelet packet transform to automatic transient signal classification through the development of a classification algorithm for biologically generated underwater acoustic signals in ocean noise. The formulation of a wavelet packet based feature set specific to the classification of snapping shrimp and whale clicks is given.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA454915

Entities

People

  • Alan S. Willsky
  • Rachel E. Learned
  • William C. Karl

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Acoustic Signals
  • Air Force
  • Algorithms
  • Automatic
  • Background Noise
  • Classification
  • Databases
  • Detection
  • Fourier Analysis
  • Frequency
  • High Pass Filters
  • Mathematics
  • Neural Networks
  • Noise
  • Pattern Recognition
  • Standards

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Marine Mammal Biology