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Proceedings Paper

New Recursive Multidimensional Discrete Transforms For Data From Unevenly-Spaced Sensors
Author(s): Gene H. Hostetter
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Paper Abstract

A new class of algorithms is given for the precise computation of general multidimensional recursive discrete transformations from data that is unevenly-spaced in time and/or space.

Paper Details

Date Published: 10 September 1987
PDF: 7 pages
Proc. SPIE 0768, Pattern Recognition and Acoustical Imaging, (10 September 1987); doi: 10.1117/12.940254
Show Author Affiliations
Gene H. Hostetter, University of California (United States)

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

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