# PyNUFFT: Python non-uniform fast Fourier transform

A minimal "getting start" tutorial is available at http://jyhmiinlin.github.io/pynufft/ .
 
### Summary

PyNUFFT is for fun and it attempts to implement the min-max NUFFT of Fessler and Sutton, with the following features:

- Based on Python numerical libraries, such as Numpy, Scipy (matplotlib for displaying examples).
- Multi-dimensional NUFFT.
- Support of PyCUDA and PyOpenCL. 
- LGPLv3

```
@article{lin2018python,
  title={Python Non-Uniform Fast {F}ourier Transform ({PyNUFFT}): An Accelerated Non-{C}artesian {MRI} Package on a Heterogeneous Platform ({CPU/GPU})},
  author={Lin, Jyh-Miin},
  journal={Journal of Imaging},
  volume={4},
  number={3},
  pages={51},
  year={2018},
  publisher={Multidisciplinary Digital Publishing Institute}
}
```

### Acknowledgements

I would be more than grateful for what 
contributors/partners have done (either contributing codes or fixing bugs in pynufft). 
However, The information of contributors and partners are kept anonymized without 
their prior express informed consent. 
If anyone would like to be identified as a contributors/partners, please contact pynufft@gmail.com.