Mathematical Research in Target Detection and Identification,

Abstract

The report describes research results on mathematical techniques useful for processing signal and image data for the purpose of target detection and identification. Faster algorithms have been developed for calculating the correlation function for two-dimensional data. Unlike the standard approach which use the cyclic Fourier transform, this approach is based on Walsh functions and is available in both cyclic and non-cyclic versions. The potential for using Walsh transforms for deconvolution is discussed. Finite impulse response filters are useful for estimating a two-dimensional image in the presence of noise. An improved version of such filters is presented. Techniques for calculating the discrete Fourier transform of two-dimensional real data are discussed, which offer computational advantages over the standard method for complex data. Finally, the results of an eigenvector expansion technique for analyzing nonstationary signals is presented with applications to acoustic data. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1973
Accession Number
AD0759554

Entities

People

  • S. R. Webb
  • W. A. Parkyn
  • W. F. Webber

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Detection
  • Discrete Fourier Transforms
  • Eigenvectors
  • Identification
  • Mathematics
  • Standards
  • Target Detection
  • Two Dimensional
  • Walsh Functions

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Computational Modeling and Simulation
  • Sensor Fusion and Tracking Systems.