Neural Adaptive Sensory Processing for Undersea Sonar

Abstract

Neural adaptive beamformers (NABFs) utilize neural paradigms to accomplish desired adaptions that are associated with sensory-field-responsive partitioning and selection processes. Kohonen-type organization and Hopfield- type optimization have been formulated as NABF mechanisms and have been applied to test data. Formulations and results are included NABF's are also used in conjunction with a learning network for interpretation of weight sets as population codings of direction. An example is included. Finally, desirable qualities of human auditory response are being interpreted in the context of neural adaptive beamforming for the purpose of creating an integrated processing structure that incorporates NABF's, a cochlear model, and an associative memory as part of a total spatio-temporal processing scheme for selective attention. Signal processing, Neural, Network, Neural networks, Beamforming

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1992
Accession Number
ADA264989

Entities

People

  • Steven L. Speidel

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Central Processing Units
  • Computations
  • Computer Programming
  • Content Addressable Memory
  • Digital Signal Processing
  • Direction Finding
  • Ear
  • Electrical Engineering
  • Engineering
  • Frequency
  • Learning
  • Neural Networks
  • Ocean Surveillance
  • Orientation (Direction)
  • Recognition
  • Signal Processing
  • Test And Evaluation

Readers

  • Auditory Neuroscience/Auditory Physiology.
  • Neural Network Machine Learning.
  • Phased Array Antenna Design.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks