Using NFFT 3---A Software Library for Various Nonequispaced Fast Fourier Transforms NFFT 3 is a software library that implements the nonequispaced fast Fourier transform (NFFT) and a number of related algorithms, for example, nonequispaced fast Fourier transforms on the sphere and iterative schemes for inversion. This article provides a survey on the mathematical concepts behind the NFFT and its variants, as well as a general guideline for using the library. Numerical examples for a number of applications are given.

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  1. Averseng, Martin: Fast discrete convolution in (\mathbbR^2) with radial kernels using non-uniform fast Fourier transform with nonequispaced frequencies (2020)
  2. Rangan, Aaditya; Spivak, Marina; Andén, Joakim; Barnett, Alex: Factorization of the translation kernel for fast rigid image alignment (2020)
  3. Agaltsov, A. D.; Hohage, T.; Novikov, R. G.: An iterative approach to monochromatic phaseless inverse scattering (2019)
  4. Barnett, Alexander H.; Magland, Jeremy; af Klinteberg, Ludvig: A parallel nonuniform fast Fourier transform library based on an “exponential of semicircle” kernel (2019)
  5. Kircheis, Melanie; Potts, Daniel: Direct inversion of the nonequispaced fast Fourier transform (2019)
  6. Merhi, Sami; Zhang, Ruochuan; Iwen, Mark A.; Christlieb, Andrew: A new class of fully discrete sparse Fourier transforms: faster stable implementations with guarantees (2019)
  7. Hielscher, Ralf; Potts, Daniel; Quellmalz, Michael: An SVD in spherical surface wave tomography (2018)
  8. Plonka, Gerlind; Potts, Daniel; Steidl, Gabriele; Tasche, Manfred: Numerical Fourier analysis (2018)
  9. Ruiz-Antolín, Diego; Townsend, Alex: A nonuniform fast Fourier transform based on low rank approximation (2018)
  10. Yang, Sheng-Chun; Qian, Hu-Jun; Lu, Zhong-Yuan: A new theoretical derivation of NFFT and its implementation on GPU (2018)
  11. Adcock, Ben; Gataric, Milana; Hansen, Anders C.: Weighted frames of exponentials and stable recovery of multidimensional functions from nonuniform Fourier samples (2017)
  12. Benedetto, John J.; Nava-Tudela, Alfredo; Powell, Alexander M.; Wang, Yang: A frame reconstruction algorithm with applications to magnetic resonance imaging (2017)
  13. Börm, S.; Börst, C.; Melenk, J. M.: An analysis of a butterfly algorithm (2017)
  14. Caliari, M.; Ostermann, A.; Piazzola, C.: A splitting approach for the magnetic Schrödinger equation (2017)
  15. Chauffert, Nicolas; Ciuciu, Philippe; Kahn, Jonas; Weiss, Pierre: A projection method on measures sets (2017)
  16. Landa, Boris; Shkolnisky, Yoel: Steerable principal components for space-frequency localized images (2017)
  17. Adcock, Ben; Platte, Rodrigo B.: A mapped polynomial method for high-accuracy approximations on arbitrary grids (2016)
  18. Andersson, Fredrik; Carlsson, Marcus; Nikitin, Viktor V.: Fast algorithms and efficient GPU implementations for the Radon transform and the back-projection operator represented as convolution operators (2016)
  19. Boyer, Claire; Chauffert, Nicolas; Ciuciu, Philippe; Kahn, Jonas; Weiss, Pierre: On the generation of sampling schemes for magnetic resonance imaging (2016)
  20. Fornasier, Massimo; Hütter, Jan-Christian: Consistency of probability measure quantization by means of power repulsion-attraction potentials (2016)

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