Many image reconstruction techniques have been remarkably successful in applications
such as medical imaging, remote sensing, nondestructive testing, and radar. The focus here …

The PDFT is a noniterative algorithm for incorporating prior knowledge in the reconstruction
of a function from linear-functional data. When we try to use the PDFT in practice we …

A linear spectral estimation technique, the PDFT algorithm, is used as part of a nonlinear
iterative reconstruction scheme to obtain improved radar images. The iterative PDFT …

Numerical methods developed to invert scattered field data are applied in this paper to data
collected from a styrofoam target. The imaging methods used are based on the distorted …

Estimating a function from loose information about its support and values of the magnitude of
its Fourier transform is known as the phase problem. Important algorithms for solving the …

USING THE WIENER FILTER IN ESTIMATION AND IMAGE RECONSTRUCTION FROM
PROJECTIONS 1. Overview The problem of finding a reasonably Page 1 USING THE WIENER …

A basic problem in remote sensing is to determine the nature of a distant object by
measuring signals transmitted by or reflected from that object. If the object of interest is …

The application of heterogeneous materials has become common in modern product design
such as composites and porous media. Computational design tools for such materials, with …

The term image is used here to denote any single-or multi-dimensional representation of a
distribution of interest. The term signal processing is also used broadly to denote the …

Automated target morphing based on a linear spectral estimation technique Page 1
Automated target morphing based on a linear spectral estimation technique Markus E …