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• W2008301799 abstract "Nonuniform Fourier data are routinely collected in applications such as magnetic resonance imaging, synthetic aperture radar, and synthetic imaging in radio astronomy. To acquire a fast reconstruction that does not require an online inverse process, the nonuniform fast Fourier transform (NFFT), also called convolutional gridding, is frequently employed. While various investigations have led to improvements in accuracy, efficiency, and robustness of the NFFT, not much attention has been paid to the fundamental analysis of the scheme, and in particular its convergence properties. This paper analyzes the convergence of the NFFT by casting it as a Fourier frame approximation. In so doing, we are able to design parameters for the method that satisfy conditions for numerical convergence. Our so-called frame theoretic convolutional gridding algorithm can also be applied to detect features (such as edges) from nonuniform Fourier samples of piecewise smooth functions." @default.
• W2008301799 created "2016-06-24" @default.
• W2008301799 creator A5008587259 @default.
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• W2008301799 date "2014-01-01" @default.
• W2008301799 modified "2023-10-02" @default.
• W2008301799 title "A Frame Theoretic Approach to the Nonuniform Fast Fourier Transform" @default.
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• W2008301799 doi "https://doi.org/10.1137/13092160x" @default.
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