Reduction of the Gibbs phenomenon for smooth functions with jumps by the ε-algorithm
Journal of Computational and Applied Mathematics
Iterative methods based on spline approximations to detect discontinuities from Fourier data
Journal of Computational and Applied Mathematics
Gibbs phenomenon removal by adding Heaviside functions
Advances in Computational Mathematics
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A key step for some methods dealing with the reconstruction of a function with jump discontinuities is the accurate approximation of the jumps and their locations. Various methods have been suggested in the literature to obtain this valuable information. In the present paper, we develop an algorithm based on asymptotic expansion formulae obtained in our earlier work. The algorithm enables one to approximate the locations of discontinuities and the magnitudes of jumps of a bounded function given its truncated Fourier series. We investigate the stability of the method and study its complexity. Finally, we consider several numerical examples in order to emphasize strong and weak points of the algorithm.