Welcome to PyNUFFT’s User Manual!

• Overview
  • The Python Non-uniform fast Fourier transform (PyNUFFT)
  • Multi-dimensional NUFFT
  • CPU and GPU (HSA)
• Installation
  • System requirements
  • Software
  • General Installation
  • Special topics
• Tutorial
  • Basic use of PyNUFFT
  • The 1D example
  • The 2D example
• Manual
  • NUFFT
  • NUFFT(device)
  • Multiple NUFFT instances
  • Multiprocessing (experimental)
  • k-Space trajectories (om)
• API documentation
  • NUFFT class
  • NUFFT
  • NUFFT_cupy
  • NUFFT_tf_eager
  • NUFFT_torch
  • push_cuda_context()
  • CPU solvers
  • L1TVOLS()
  • _create_kspace_sampling_density()
  • _pipe_density()
  • cDiff()
  • solve()
  • HSA solvers
  • L1TVLAD()
  • L1TVOLS()
  • _create_kspace_sampling_density()
  • _pipe_density()
  • cDiff()
  • solve()
  • NUDFT class
  • NUDFT
  • Helper functions
  • ELL
  • OMEGA_k()
  • QR_process()
  • Tensor_sn
  • block_outer_prod()
  • block_outer_sum()
  • block_outer_sum0()
  • cat_snd()
  • create_laplacian_kernel()
  • create_partialELL()
  • crop_slice_ind()
  • device_list()
  • diagnose()
  • get_sn()
  • indxmap_diff()
  • kaiser_bessel_ft()
  • kronecker_scale()
  • nufft_T()
  • nufft_alpha_kb_fit()
  • nufft_offset()
  • nufft_r()
  • nufft_scale1()
  • outer_sum()
  • pELL
  • plan()
  • preindex_copy()
  • rdx_kron()
  • strides_divide_itemsize()
  • Metaprogramming subroutines (using reikna, pyopencl, pycuda)
  • atomic_add()
  • cAddScalar()
  • cAddVec()
  • cAnisoShrink()
  • cCopy()
  • cDiff()
  • cHadamard()
  • cHypot()
  • cMultiplyConjVec()
  • cMultiplyConjVecInplace()
  • cMultiplyRealInplace()
  • cMultiplyScalar()
  • cMultiplyVec()
  • cMultiplyVecInplace()
  • cRealShrink()
  • cSelect()
  • cSpmv()
  • cSpmvh()
  • cSqrt()
  • cTensorCopy()
  • cTensorMultiply()
  • create_kernel_sets()
• Version history
• Acknowledgements

Indices and tables

Contact information

pynufft@gmail.com