Overview

Welcome to the documentation for ppft-py.

ppft-py provides a Python implementation of the Pseudo-Polar Fourier Transform (PPFT) in both 2D (PPFT2D) and 3D (PPFT3D), based on the methods introduced in [Averbuch2001] and [Averbuch2003].

The module ppftpy provides the following functions:

Key Functions

Function
ppft2()
rppft2()
ppft3()
rppft3()

For detailed API documentation, see API Reference.

Contents

• Backends

Package

Version:

0.1

Release:

0.1.0

References

[Averbuch2003]

A. Averbuch and Y. Shkolnisky, “3D Fourier based discrete Radon transform,” Applied and Computational Harmonic Analysis, vol. 15, no. 1, pp. 33-69, Jul. 2003, issn: 1063-5203. doi:10.1016/s1063-5203(03)00030-7.

[Averbuch2001]

A. Averbuch, R. Coifman, D. Donoho, M. Israeli, and J. Waldén, “Fast Slant Stack: A notion of Radon Transform for Data in a Cartesian Grid which is Rapidly Computible, Algebraically Exact, Geometrically Faithful and Invertible,” 2001.