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pyFFS: A Python Library for Fast Fourier Series Computation and Interpolation with GPU Acceleration

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Publication:5097592
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DOI10.1137/21M1448641zbMath1503.65004arXiv2110.00262OpenAlexW4292240486WikidataQ114073967 ScholiaQ114073967MaRDI QIDQ5097592

Matthieu Simeoni, Martin Vetterli, Paul Hurley, Eric Bezzam, Sepand Kashani

Publication date: 25 August 2022

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2110.00262


zbMATH Keywords

GPUchirp Z-transformbandlimited interpolationnumerical libraryfast Fourier series


Mathematics Subject Classification ID

Numerical methods for discrete and fast Fourier transforms (65T50) Software, source code, etc. for problems pertaining to numerical analysis (65-04)


Related Items (1)

pyFFS


Uses Software

  • NumPy
  • Python
  • Pyff
  • CuPy


Cites Work

  • Fast Fourier transforms: A tutorial review and a state of the art
  • The Fractional Fourier Transform and Applications
  • TV-based reconstruction of periodic functions
  • A Parallel Nonuniform Fast Fourier Transform Library Based on an “Exponential of Semicircle" Kernel
  • An Algorithm for the Machine Calculation of Complex Fourier Series


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