A tomographic image reconstruction algorithm that we have been studying requires the nth-order Hankel transform for the nth function in a series, where n varies over a set of integers. Unfortunately, most previously proposed algorithms have either dealt with only zeroth-order transforms or cannot be applied conveniently to our problem. We propose an algorithm for computing general integer-order Hankel transforms. The algorithm takes samples of equally spaced input functions and gives equally spaced samples of the transforms.
|Original language||English (US)|
|Number of pages||12|
|Journal||IEEE Transactions on Acoustics, Speech, and Signal Processing|
|State||Published - Jan 1987|
All Science Journal Classification (ASJC) codes
- Signal Processing