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Daniel Potts

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Preprint Jul 2026

Approximating the Fourier Transform from Non-equispaced Discrete Samples

We study the approximation of the Fourier transform of a function from finitely many samples. Departing from the equispaced setting, we sample the function at deterministic non-equispaced nodes obtained by transforming equispaced points on $[0,1]$ through the inverse cumulative distribution function of a probability de...

Daniel Potts, Laura Weidensager · 0 citations

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