Reconstruction of Multidimensional Signals from Zero Crossings.

Abstract

This thesis addresses the problem of reconstruction of multidimensional signals from zero crossing or threshold crossing information. The basic theoretical result shows that most two-dimensional, periodic, bandlimited signals are uniquely specified wtih zero crossings or with crossings of an arbitrary threshold. This result also applies to finite length signals and to situations where only a discrete set of zero crossing points are available. Additional results show that signals of higher dimensions and nonperiodic signals are also uniquely specified with zero crossings or threshold crossings. By applying the duality of the Fourier transform in a straight-forward way, it is also shown that finite-length signals are uniquely specified with zero crossings (or sign formation) in the Fourier domain under analogous sets of conditions. A problem distinct from that of uniquely specifying signals with zero crossings is that of developing specific algorithms for recovering signals from zero crossing information once it is known that the signals satisfy the appropriate constraints. Two algorithms for recovering signals from zero crossings or threshold crossings are presented and one is successfully used to recover example images from threshold crossings. The thesis concludes with suggestions for future research including possible applications of these results. Additional keywords: electrical engineering; theorems; equations.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1985
Accession Number
ADA160062

Entities

People

  • S. R. Curtis

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algebraic Geometry
  • Classification
  • Computational Science
  • Computer Science
  • Electrical Engineering
  • Engineering
  • Fourier Series
  • Frequency
  • Frequency Domain
  • Geometry
  • Image Processing
  • Information Processing
  • New York
  • Periodic Functions
  • Security
  • Signal Processing
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Approximation Theory.