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pro vyhledávání: '"Melanie Kircheis"'
Autor:
Melanie Kircheis, Daniel Potts
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)
The well-known discrete Fourier transform (DFT) can easily be generalized to arbitrary nodes in the spatial domain. The fast procedure for this generalization is referred to as nonequispaced fast Fourier transform (NFFT). Various applications such as
Externí odkaz:
https://doaj.org/article/de2d64bfc3094bba8d98af4e836adfce
Publikováno v:
Advances in Magnetic Resonance Technology and Applications ISBN: 9780128227268
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8f16dc78261115da2137d16f46fa7cc
https://doi.org/10.1016/b978-0-12-822726-8.00013-0
https://doi.org/10.1016/b978-0-12-822726-8.00013-0
In this paper, we study the nonuniform fast Fourier transform with nonequispaced spatial and frequency data (NNFFT) and the fast sinc transform as its application. The computation of NNFFT is mainly based on the nonuniform fast Fourier transform with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c8c977e9e7c80329ea3ca9ce94d2548
Autor:
Melanie Kircheis, Daniel Potts
Various applications such as MRI, solution of PDEs, etc. need to perform an inverse nonequispaced fast Fourier transform (NFFT), i.e., compute M Fourier coefficients from given N nonequispaced data. In the present paper we consider direct methods for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a39dd90bc358558608f320601241911
http://arxiv.org/abs/1811.05335
http://arxiv.org/abs/1811.05335