Fundamentals of digital image processing
Fundamentals of digital image processing
Family of spectral filters for discontinuous problems
Journal of Scientific Computing
Journal of Computational and Applied Mathematics - Orthogonal polynomials and numerical methods
Accurate reconstructions of functions of finite regularity from truncated Fourier series expansions
Mathematics of Computation
On the Gibbs Phenomenon and Its Resolution
SIAM Review
Journal of Scientific Computing
Locating Discontinuities of a Bounded Function by the Partial Sums of Its Fourier Series
Journal of Scientific Computing
A Hybrid Approach to Spectral Reconstruction of Piecewise Smooth Functions
Journal of Scientific Computing
Detection of Edges in Spectral Data II. Nonlinear Enhancement
SIAM Journal on Numerical Analysis
Adaptive Edge Detectors for Piecewise Smooth Data Based on the minmod Limiter
Journal of Scientific Computing
IEEE Transactions on Signal Processing
Reconstruction of a compactly supported function from the discretesampling of its Fourier transform
IEEE Transactions on Signal Processing
Approximating Functions From Sampled Fourier Data Using Spline Pseudofilters
IEEE Transactions on Signal Processing
Detecting discontinuity points from spectral data with the quotient-difference (qd) algorithm
Journal of Computational and Applied Mathematics
Hi-index | 7.29 |
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.