The mathematical setting assumed is the Hilbert space. Two image reconstruction problems are summarized. In one (from emission tomography), an unknown member, f, of the space is sought as a linear combination of linearly independent elements g/sub 1/, g/sub 2/, . . ., g/sub n/, under the hypothesis that the inner products <f, g/sub j/> are known for 1<or=j… (More)

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@article{Andrews1989ApplicationOO,
title={Application of orthogonal elements in a-priori reconstruction: Fourier and polynomial techniques},
author={R. A. Andrews and A. G. Law and A. D. Strilaeff and R. S. Sloboda},
journal={Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing},
year={1989},
pages={83-86}
}