Multiscale and Multigrid Information Representation, Extraction and Fusion

Abstract

The basic goal of this research was to study the role that wavelet theory can play in information representation and extraction. The researchers focused their attention primarily on surveillance applications. As part of their research, they studied two problems that arise in surveillance. The first problem was that of determining the directions of arrivals of a set of plane waves in the presence of a background noise of unknown correlation structure. The second problem involved selecting an optimal set of N waveforms, with N fixed, to obtain the best reconstruction of a distributed range-doppler target reflectivity function.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1993
Accession Number
ADA264623

Entities

People

  • Ahmed Tewfik

Organizations

  • University of Minnesota

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Background Noise
  • Bandwidth
  • Coding
  • Electrical Engineering
  • Engineering
  • Filtration
  • Frequency Bands
  • Frequency Domain
  • High Resolution
  • Image Processing
  • Noise
  • Pattern Recognition
  • Plane Waves
  • Signal Processing
  • Two Dimensional
  • Waveforms
  • Waves

Readers

  • Computational Fluid Dynamics (CFD)
  • Operations Research
  • Radar Systems Engineering.