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Proceedings Paper

Acoustical Image Reconstruction Algorithms: Structure, Performance, Sensitivity, And Limitation
Author(s): Hua Lee
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Paper Abstract

The objective of this paper is to utilize the vector space methods to illustrate the fundamental structure of the reconstruction algorithms for linear acoustical imaging systems. In this paper, continuous, discrete, and partial discrete models and the asso-ciated optimal algorithms are presented. In addition, the commonalities and differences of these algorithms and the sensitivity and performance parameters are discussed.

Paper Details

Date Published: 10 September 1987
PDF: 10 pages
Proc. SPIE 0768, Pattern Recognition and Acoustical Imaging, (10 September 1987); doi: 10.1117/12.940246
Show Author Affiliations
Hua Lee, University of Illinois at Urbana-Champaign (United States)

Published in SPIE Proceedings Vol. 0768:
Pattern Recognition and Acoustical Imaging
Leonard A. Ferrari, Editor(s)

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