Classification of Underwater Mammals using Feature Extraction Based on Time-Frequency Analysis and BCM Theory.

Abstract

Underwater mammal sounds classification is demonstrated using a novel application of wavelet time/frequency decomposition and feature extraction using the BCM neuron. The system achieves outstanding classification performance even when tested with mammal sounds recorded at very different locations (from training).

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1996
Accession Number
ADA316962

Entities

People

  • Harel Shouval
  • Leon Cooper
  • Nathan Intrator
  • Quyen Q. Huynh

Organizations

  • Brown University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acoustic Signals
  • Algorithms
  • Cells
  • Classification
  • Data Sets
  • Dimensionality Reduction
  • Feature Extraction
  • Frequency
  • Frequency Bands
  • Information Science
  • Machine Learning
  • Mammals
  • Marine Mammals
  • Network Science
  • Neural Networks
  • Odontocetes
  • Signal Processing

Readers

  • Image Processing and Computer Vision.
  • Marine Mammal Biology
  • Neuroscience

Technology Areas

  • AI & ML