Nonlinear Signal Classification Using Dynamical Systems Theory

Abstract

The long range goal of this project was the development of new signal processing and data classification methods based on ideas from the field of nonlinear dynamics. Specifically, nonlinear time-domain modeling methods using closed-form dynamical equations were to be formulated in a rigorous way in the framework of standard statistical signal classification methods. The aim was to provide new algorithms and automated tools which could enhance existing Navy systems for Sonar detection and classification, and to eventually transition them to the fleet.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2002
Accession Number
ADA425281

Entities

People

  • James Kadtke

Organizations

  • Scripps Institution of Oceanography

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Baltic Sea
  • Biosonar
  • Data Processing
  • Data Sets
  • Detection
  • Differential Equations
  • Equations
  • Genetic Algorithms
  • Machine Learning
  • Military Research
  • Neural Networks
  • Nonlinear Dynamics
  • Signal Processing
  • Sonar
  • Standards
  • Time Domain

Readers

  • Acoustical Oceanography.
  • Computer Vision.
  • Control Systems Engineering.