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Fast approximate Fourier transforms for irregularly spaced data. (English) Zbl 0917.65122
The author compares various known methods for computing Fourier transforms for irregularly spaced data including
– cubic spline interpolation through values on an equally spaced grid,
– local Chebyshev approximation (due to the author in his Ph.D. thesis, Oxford Univ., Oxford (1991)),
J. P. Boyd’s Euler sum [J. Comput. Phys. 103, No. 2, 243-257 (1992; Zbl 0768.65001)],
– approximations of complex exponentials (due to A. Dutt and V. Rokhlin, SIAM J. Sci. Comput. 14, No. 6, 1368-1393 (1993; Zbl 0791.65108)),
– Lagrange polynomial interpolation,
– local Taylor expansion (due to C. Anderson and M. D. Dahleh, ibid. 17, No. 4, 913-919 (1996; Zbl 0858.65114)),
– multipole method,
G. Beylkin’s USFFT [Appl. Comput. Harmon. Anal. 2, No. 4, 363-381 (1995; Zbl 0838.65142)].
Extensive numerical results are included.

MSC:
65T50 Numerical methods for discrete and fast Fourier transforms
42A16 Fourier coefficients, Fourier series of functions with special properties, special Fourier series
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