The Gibbs phenomenon refers to the lack of uniform convergence which occurs in many orthogonal basis approximations to piecewise smooth functions. This lack of uniform convergence manifests itself in spurious oscillations near the points of discontinuity and a low order of convergence away from the discontinuities. Here we describe a numerical procedure for overcoming the Gibbs phenomenon called the inverse wavelet reconstruction method. The method takes the Fourier coefficients of an oscillatory partial sum and uses them to construct the wavelet coefficients of a non-oscillatory wavelet series
© 2019 by the authors. Gibbs effect represents the non-uniform convergence of the nth Fourier partia...
We propose a model to reconstruct wavelet coefficients using a total variation minimization algorith...
. The accuracy of the wavelet approximation at resolution h = 2 \Gamman to a smooth function f is ...
The Gibbs phenomenon refers to the lack of uniform convergence which occurs in many orthogonal basis...
The Gibbs phenomenon refers to the lack of uniform convergence which occurs in many orthogonal basis...
The Gibbs phenomenon refers to the lack of uniform convergence which occurs in many orthogonal basis...
AbstractThe finite Fourier representation of a function f(x) exhibits oscillations where the functio...
AbstractIt is well known that the expansion of an analytic nonperiodic function on a finite interval...
AbstractWhen Fourier expansions, or more generally spectral methods, are used for the representation...
© Published under licence by IOP Publishing Ltd. Gibbs effect is generally known for Fourier and Wav...
When a Fourier series is used to approximate a function with a jump discontinuity, an overshoot at t...
The vanishing moment of wavelets and associated multi-resolution framework yield an efficient repres...
AbstractWe introduce a simple and efficient method to reconstruct an element of a Hilbert space in t...
In several applications, data are collected in the frequency (Fourier) domain non-uniformly, either ...
AbstractIt is shown that a Gibbs phenomenon occurs in the wavelet expansion of a function with a jum...
© 2019 by the authors. Gibbs effect represents the non-uniform convergence of the nth Fourier partia...
We propose a model to reconstruct wavelet coefficients using a total variation minimization algorith...
. The accuracy of the wavelet approximation at resolution h = 2 \Gamman to a smooth function f is ...
The Gibbs phenomenon refers to the lack of uniform convergence which occurs in many orthogonal basis...
The Gibbs phenomenon refers to the lack of uniform convergence which occurs in many orthogonal basis...
The Gibbs phenomenon refers to the lack of uniform convergence which occurs in many orthogonal basis...
AbstractThe finite Fourier representation of a function f(x) exhibits oscillations where the functio...
AbstractIt is well known that the expansion of an analytic nonperiodic function on a finite interval...
AbstractWhen Fourier expansions, or more generally spectral methods, are used for the representation...
© Published under licence by IOP Publishing Ltd. Gibbs effect is generally known for Fourier and Wav...
When a Fourier series is used to approximate a function with a jump discontinuity, an overshoot at t...
The vanishing moment of wavelets and associated multi-resolution framework yield an efficient repres...
AbstractWe introduce a simple and efficient method to reconstruct an element of a Hilbert space in t...
In several applications, data are collected in the frequency (Fourier) domain non-uniformly, either ...
AbstractIt is shown that a Gibbs phenomenon occurs in the wavelet expansion of a function with a jum...
© 2019 by the authors. Gibbs effect represents the non-uniform convergence of the nth Fourier partia...
We propose a model to reconstruct wavelet coefficients using a total variation minimization algorith...
. The accuracy of the wavelet approximation at resolution h = 2 \Gamman to a smooth function f is ...