Signal Feature Analysis Using Neural Networks & Psychoacoustics

Abstract

The primary goal of this research was to compare the processing strategies used by human subjects and neural networks in classifying acoustic signals. Secondary goals were to compare subjects with and without sonar training and to investigate the effects on the neural networks of adding noise to the acoustic signals

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1993
Accession Number
ADA266048

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Acoustic Signals
  • Algorithms
  • C Programming Language
  • Computer Programming
  • Computers
  • Detectors
  • Fast Fourier Transforms
  • Frequency Domain
  • Information Science
  • Machine Learning
  • Neural Networks
  • Plastic Explosives
  • Signal Processing
  • Sine Waves
  • Test Methods
  • Test Sets
  • Three Dimensional

Readers

  • Acoustical Oceanography.
  • Neural Network Machine Learning.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks