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SIAM Journal on Scientific Computing
Article . 1994 . Peer-reviewed
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A Fast Method for the Numerical Evaluation of Continuous Fourier and Laplace Transforms

A fast method for the numerical evaluation of continuous Fourier and Laplace transforms
Authors: Bailey, David H.; Swarztrauber, Paul N.;

A Fast Method for the Numerical Evaluation of Continuous Fourier and Laplace Transforms

Abstract

The authors describe a technique based on the fractional Fourier transform (FRFT) previously developed by themselves [SIAM Rev. 33, No. 3, 389-404 (1991; Zbl 0734.65104)], to compute numerical approximations of the continuous Fourier transforms, with a saving of computation respect to the conventional fast Fourier transform (FFT). As an illustration, an implementation example for numerically computing the Fourier transform of the Gaussian probability density function is treated. The above FRFT- scheme can be also applied to the numerical evaluation of continuous Laplace transforms.

Keywords

Laplace transform, continuous Fourier transforms, Laplace transforms, Numerical methods for trigonometric approximation and interpolation, fractional Fourier transform, fast Fourier transform, Complexity and performance of numerical algorithms, Fourier and Fourier-Stieltjes transforms and other transforms of Fourier type, Numerical methods for integral transforms, Numerical methods for discrete and fast Fourier transforms, Gaussian probability density function

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
115
Top 1%
Top 1%
Average
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