Iterative methods based on spline approximations to detect discontinuities from Fourier data

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摘要

Recently, spline approximations have been proposed for the reconstruction of piecewise smooth functions from Fourier data. That approach makes possible to retrieve the functions from their Fourier coefficients for any given degree of accuracy when the discontinuity points are known. In this paper we present iterative methods based on those spline approximations, for several degrees, to find locations and amplitudes of the jumps of a piecewise smooth function, given its Fourier coefficients. We also present numerical experiments comparing with different previous approaches.

论文关键词:Discontinuity detection,Fourier data,Iterative methods,Gibbs phenomenon

论文评审过程:Received 15 December 2007, Revised 17 February 2010, Available online 6 May 2010.

论文官网地址:https://doi.org/10.1016/j.cam.2010.04.027