PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
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.
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
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
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