Unitary Mappings Between Multiresolution Analyses of L... (R) and a Parametrization of Low-Pass Filters.
Universal simultaneous approximations of the coefficient functionals
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We study smoothness spaces generated by maximal functions related to the local approximation errors of integral operators. It turns out that in certain cases these smoothness classes coincide with the spaces , 0 < p≤∞, introduced by DeVore and Sharpley [DS] by means of the so-called sharp maximal functions of Calderón and Scott. As an application we characterize the spaces in terms of the coefficients of wavelet decompositions.
Vanishing moments for scaling vectors.
Vector-valued Lp-convergence of orthogonal series and Lagrange interpolation.
Vector-valued wavelets and the Hardy space H¹(ℝⁿ,X)
We prove an analogue of Y. Meyer's wavelet characterization of the Hardy space H¹(ℝⁿ) for the space H¹(ℝⁿ,X) of X-valued functions. Here X is a Banach space with the UMD property. The proof uses results of T. Figiel on generalized Calderón-Zygmund operators on Bochner spaces and some new local estimates.
Walsh-Marcinkiewicz means and Hardy spaces
The main aim of this paper is to investigate the Walsh-Marcinkiewicz means on the Hardy space H p, when 0 < p < 2/3. We define a weighted maximal operator of Walsh-Marcinkiewicz means and establish some of its properties. With its aid we provide a necessary and sufficient condition for convergence of the Walsh-Marcinkiewicz means in terms of modulus of continuity on the Hardy space H p, and prove a strong convergence theorem for the Walsh-Marcinkiewicz means.
Wandering Sets for a Class of Borel Isomorphisms of ...0,1).
Wavelet Analysis and Covariance Structure of some Classes of Non-Stationary Processes.
Wavelet analysis of the multivariate fractional brownian motion
The work developed in the paper concerns the multivariate fractional Brownian motion (mfBm) viewed through the lens of the wavelet transform. After recalling some basic properties on the mfBm, we calculate the correlation structure of its wavelet transform. We particularly study the asymptotic behaviour of the correlation, showing that if the analyzing wavelet has a sufficient number of null first order moments, the decomposition eliminates any possible long-range (inter)dependence. The cross-spectral...
Wavelet analysis on a Boehmian space.
Wavelet approximation methods for pseudodifferential equations: I. Stability and convergence.
Wavelet based numerical homogenization.
Wavelet bases in
It is shown that an orthonormal wavelet basis for associated with a multiresolution is an unconditional basis for , 1 < p < ∞, provided the father wavelet is bounded and decays sufficiently rapidly at infinity.
Wavelet Basis Packets and Wavelet Frame Packets.
Wavelet constructions in non-linear dynamics.
Wavelet estimation of the long memory parameter for Hermite polynomial of gaussian processes
We consider stationary processes with long memory which are non-Gaussian and represented as Hermite polynomials of a Gaussian process. We focus on the corresponding wavelet coefficients and study the asymptotic behavior of the sum of their squares since this sum is often used for estimating the long–memory parameter. We show that the limit is not Gaussian but can be expressed using the non-Gaussian Rosenblatt process defined as a Wiener–Itô integral of order 2. This happens even if the original...
Wavelet frames for distributions; local and pointwise regularity
This paper deals with wavelet frames for a large class of distributions on euclidean n-space, including all compactly supported distributions. These representations characterize the global, local, and pointwise regularity of the distribution considered.
Wavelet Frames on Lipschitz Curves and Applications.
Wavelet packets on locally compact abelian groups.