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Python-NUFFT

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Python bindings to a subset of the NUFFT algorithm. 1D, 2D, and 3D cases are implemented.

Usage

The documentation can be found on ReadTheDocs.

To install, run python setup.py install. Then, to evaluate a type-3 FT in 1D, use nufft.nufft1d3. Assuming that you have a time series in t and y and you want to evaluate it at (angular) frequencies f:

import nufft
ft = nufft.nufft1d3(t, y, f)

You can specify your required precision using eps=1e-15. The default is 1e-15.

Authors and License

Python bindings by Dan Foreman-Mackey, Thomas Arildsen, and Marc T. Henry de Frahan but the code that actually does the work is from the Greengard lab at NYU (see the website). The Fortran code is BSD licensed and the Python bindings are MIT licensed.

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Python bindings to a subset of the NUFFT algorithm

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  • Fortran 80.9%
  • Python 19.1%