We show that the two dimensional wavelet expansion of Lᴾ (R²) function for 1 < p < ∞ converges pointwise almost everywhere under wavelet projection operator. This convergence can be established by assuming some minimal regularity to get the rapidly decreasing for two dimensional wavelet ψj1,j2,k1,k2. The Kernel function of the wavelet projection operator in two dimension converges absolutely, distributionally and is bounded. Also the wavelet expansions in two dimension are controlled in a magnitude by the maximal function operator. All these conditions can be utilized to achieve the convergence almost everywhere
We study wavelet packets in the setting of a multiresolution analysis of L2() generated by an arbitr...
AbstractWe develop a distribution wavelet expansion theory for the space of highly time-frequency lo...
We present new quantitative results for the characterization of the $ L _{ 2 } $ -error of wavelet-l...
In this work, we highlight to some methods that can develop the convergence of wavelet expansions un...
AbstractWavelets provide a new class of orthogonal expansions in L2(Rd) with good time/frequency loc...
In this note we announce that under general hypotheses, wavelet-type expansions (of functions in L ...
A wavelet basis is an orthonormal basis of smooth functions generated by dilations by 2-m and transl...
AbstractLet ψ be a rapidly decreasing one-dimensional wavelet. We show that the wavelet expansion of...
AbstractThe expansion of a distribution or function in regular orthogonal wavelets is considered. Th...
Let BV = BV(IRd) be the space of functions of bounded variation on IRd with d ≥ 2. Let ψλ, λ ∈ ∆, be...
Several results are proved which characterize the rate at which wavelet and multiresolution expansio...
In the paper, we give conditions for uniform convergence of wavelet expansions of the random process...
This paper presents an analysis of the Galerkin approximation of a time dependent initial value prob...
New results on uniform convergence in probability for the most general classes of wavelet expansions...
Abstract. We study wavelet packets in the setting of a multires-olution analysis of L2(Rd) generated...
We study wavelet packets in the setting of a multiresolution analysis of L2() generated by an arbitr...
AbstractWe develop a distribution wavelet expansion theory for the space of highly time-frequency lo...
We present new quantitative results for the characterization of the $ L _{ 2 } $ -error of wavelet-l...
In this work, we highlight to some methods that can develop the convergence of wavelet expansions un...
AbstractWavelets provide a new class of orthogonal expansions in L2(Rd) with good time/frequency loc...
In this note we announce that under general hypotheses, wavelet-type expansions (of functions in L ...
A wavelet basis is an orthonormal basis of smooth functions generated by dilations by 2-m and transl...
AbstractLet ψ be a rapidly decreasing one-dimensional wavelet. We show that the wavelet expansion of...
AbstractThe expansion of a distribution or function in regular orthogonal wavelets is considered. Th...
Let BV = BV(IRd) be the space of functions of bounded variation on IRd with d ≥ 2. Let ψλ, λ ∈ ∆, be...
Several results are proved which characterize the rate at which wavelet and multiresolution expansio...
In the paper, we give conditions for uniform convergence of wavelet expansions of the random process...
This paper presents an analysis of the Galerkin approximation of a time dependent initial value prob...
New results on uniform convergence in probability for the most general classes of wavelet expansions...
Abstract. We study wavelet packets in the setting of a multires-olution analysis of L2(Rd) generated...
We study wavelet packets in the setting of a multiresolution analysis of L2() generated by an arbitr...
AbstractWe develop a distribution wavelet expansion theory for the space of highly time-frequency lo...
We present new quantitative results for the characterization of the $ L _{ 2 } $ -error of wavelet-l...