Several results are proved which characterize the rate at which wavelet and multiresolution expansions converge to functions in a given Sobolev space in the supremum error norm. Some of the results are proved without assuming existence of a scaling function in the multiresolution analysis. Necessary and sufficient conditions are given for convergence at given rates in terms of behavior of Fourier transforms of the wavelet or scaling function near the origin. Such conditions turn out in special cases to be equivalent to moment conditions and other known conditions determining convergence rates
. The accuracy of the wavelet approximation at resolution h = 2 \Gamman to a smooth function f is ...
We present new quantitative results for the characterization of the $ L _{ 2 } $ -error of wavelet-l...
AbstractThe expansion of a distribution or function in regular orthogonal wavelets is considered. Th...
Dedicated to Prof. Robert Carroll on the occasion of his 70th birthday. We characterize uniform conv...
In this note we announce that under general hypotheses, wavelet-type expansions (of functions in L ...
AbstractWavelets provide a new class of orthogonal expansions in L2(Rd) with good time/frequency loc...
A wavelet basis is an orthonormal basis of smooth functions generated by dilations by 2-m and transl...
In this work, we highlight to some methods that can develop the convergence of wavelet expansions un...
We announce new conditions for uniform pointwise convergence rates of wavelet expansions in Besov an...
Some convergence issues concerning wavelet multiresolution approximation of random processes are inv...
AbstractThe authors investigate conditions equivalent to the vanishing of moments of wavelets in a m...
AbstractWe consider the approximation of a fractional Brownian motion by a wavelet series expansion ...
The characterization of orthonormal bases of wavelets by means of convergent series involving only ...
A generalization of sampling series is introduced by considering expansions in terms of scaled trans...
We present new quantitative results for the characterization of the b-error of wavelet-like expansio...
. The accuracy of the wavelet approximation at resolution h = 2 \Gamman to a smooth function f is ...
We present new quantitative results for the characterization of the $ L _{ 2 } $ -error of wavelet-l...
AbstractThe expansion of a distribution or function in regular orthogonal wavelets is considered. Th...
Dedicated to Prof. Robert Carroll on the occasion of his 70th birthday. We characterize uniform conv...
In this note we announce that under general hypotheses, wavelet-type expansions (of functions in L ...
AbstractWavelets provide a new class of orthogonal expansions in L2(Rd) with good time/frequency loc...
A wavelet basis is an orthonormal basis of smooth functions generated by dilations by 2-m and transl...
In this work, we highlight to some methods that can develop the convergence of wavelet expansions un...
We announce new conditions for uniform pointwise convergence rates of wavelet expansions in Besov an...
Some convergence issues concerning wavelet multiresolution approximation of random processes are inv...
AbstractThe authors investigate conditions equivalent to the vanishing of moments of wavelets in a m...
AbstractWe consider the approximation of a fractional Brownian motion by a wavelet series expansion ...
The characterization of orthonormal bases of wavelets by means of convergent series involving only ...
A generalization of sampling series is introduced by considering expansions in terms of scaled trans...
We present new quantitative results for the characterization of the b-error of wavelet-like expansio...
. The accuracy of the wavelet approximation at resolution h = 2 \Gamman to a smooth function f is ...
We present new quantitative results for the characterization of the $ L _{ 2 } $ -error of wavelet-l...
AbstractThe expansion of a distribution or function in regular orthogonal wavelets is considered. Th...