Deconvolution Methods for Multi-Detectors

Abstract

Deconvolution of a single convolution equation is usually an ill- posed problem. This has been sufficiently illustrated in the literature. The shortcomings of linear and of non-linear deconvolution methods can be found, for instance, in the very clear review paper. Advances in the theory of holomorphic functions of several complex variables led Berenstein, Taylor and Yger to realize that systems of convolution equations could be deconvolved exactly, thus avoiding the above ill-posedness. Their preliminary papers eventually led to this project. The practical interest of this observation is that whenever such a set of convolution equations represents a set of physically realizable devices (e.g. transducers, sensors) then one has, by use of a digitally implemented inverse, essentially an arbitrary bandwidth device.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 30, 1989
Accession Number
ADA213568

Entities

People

  • Carlos Berenstein

Organizations

  • Maryland Advanced Development Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Analytic Functions
  • Applied Mathematics
  • Automated Target Recognition
  • Bessel Functions
  • Complex Variables
  • Computational Science
  • Convex Sets
  • Detection
  • Detectors
  • Equations
  • Geometry
  • Mathematics
  • Plastic Explosives
  • Target Recognition
  • Theorems
  • Two Dimensional

Readers

  • Educational Psychology
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Image Processing and Computer Vision.