In wavelet representations, the magnitude of the wavelet coefficients depends on both the smoothness of the represented function f and on the wavelet. We investigate the extreme values of wavelet coefficients for the standard function spaces Ak=f∥fk)∥2 ≤ 1}, k∈N. In particular, we compare two important families of wavelets in this respect, the orthonormal Daubechies wavelets and the semiorthogonal spline wavelets. Deriving the precise asymptotic values in both cases, we show that the spline constants are considerably smalle
The LeGall 5/3 and Daubechies 9/7 filters have risen to special prominence because they were selecte...
In this note we announce that under general hypotheses, wavelet-type expansions (of functions in L ...
AbstractAdapting the recently developed randomized dyadic structures, we introduce the notion of spl...
In wavelet representations, the magnitude of the wavelet coefficients depends on both the smoothness...
We present new quantitative results for the characterization of the b-error of wavelet-like expansio...
We present new quantitative results for the characterization of the $ L _{ 2 } $ -error of wavelet-l...
We treat a number of topics related to wavelets and the description of local regularity properties o...
The problem of generalized nonparametric function estimation has received considerable attention ove...
A wavelet basis is an orthonormal basis of smooth functions generated by dilations by 2-m and transl...
. The accuracy of the wavelet approximation at resolution h = 2 \Gamman to a smooth function f is ...
We provide a novel treatment of the ability of the standard (wavelet-tensor) and of the hyperbolic (...
Abstract—In this paper, we revisit wavelet theory starting from the representation of a scaling func...
International audienceWe characterize the approximation spaces associated with the best $n$-term app...
International audience The upper Hölder index has been introduced to describe smoothness properties ...
The asymmetry of Daubechies' scaling functions and wavelets can be diminished by minimizing a s...
The LeGall 5/3 and Daubechies 9/7 filters have risen to special prominence because they were selecte...
In this note we announce that under general hypotheses, wavelet-type expansions (of functions in L ...
AbstractAdapting the recently developed randomized dyadic structures, we introduce the notion of spl...
In wavelet representations, the magnitude of the wavelet coefficients depends on both the smoothness...
We present new quantitative results for the characterization of the b-error of wavelet-like expansio...
We present new quantitative results for the characterization of the $ L _{ 2 } $ -error of wavelet-l...
We treat a number of topics related to wavelets and the description of local regularity properties o...
The problem of generalized nonparametric function estimation has received considerable attention ove...
A wavelet basis is an orthonormal basis of smooth functions generated by dilations by 2-m and transl...
. The accuracy of the wavelet approximation at resolution h = 2 \Gamman to a smooth function f is ...
We provide a novel treatment of the ability of the standard (wavelet-tensor) and of the hyperbolic (...
Abstract—In this paper, we revisit wavelet theory starting from the representation of a scaling func...
International audienceWe characterize the approximation spaces associated with the best $n$-term app...
International audience The upper Hölder index has been introduced to describe smoothness properties ...
The asymmetry of Daubechies' scaling functions and wavelets can be diminished by minimizing a s...
The LeGall 5/3 and Daubechies 9/7 filters have risen to special prominence because they were selecte...
In this note we announce that under general hypotheses, wavelet-type expansions (of functions in L ...
AbstractAdapting the recently developed randomized dyadic structures, we introduce the notion of spl...