New Recursive Multidimensional Discrete Transforms For Data From Unevenly-Spaced Sensors

Gene H. Hostetter

doi:10.1117/12.940254

10 September 1987 New Recursive Multidimensional Discrete Transforms For Data From Unevenly-Spaced Sensors

Gene H. Hostetter

Proceedings Volume 0768, Pattern Recognition and Acoustical Imaging; (1987) https://doi.org/10.1117/12.940254
Event: International Symposium on Pattern Recognition and Acoustical Imaging, 1987, Newport Beach, CA, United States

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.

Citation Download Citation

Gene H. Hostetter "New Recursive Multidimensional Discrete Transforms For Data From Unevenly-Spaced Sensors", Proc. SPIE 0768, Pattern Recognition and Acoustical Imaging, (10 September 1987); https://doi.org/10.1117/12.940254

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