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Using a prime element of a local field K of positive characteristic p, the concepts of multiresolution analysis (MRA) and wavelet can be generalized to such a field. We prove a version of the splitting lemma for this setup and using this…

Functional Analysis · Mathematics 2011-03-02 Biswaranjan Behera , Qaiser Jahan

We identify multiresolution subspaces giving rise via Hankel transforms to Bessel functions. They emerge as orthogonal systems derived from geometric Hilbert-space considerations, the same way the wavelet functions from a multiresolution…

Representation Theory · Mathematics 2009-11-13 Sergio Albeverio , Palle E. T. Jorgensen , Anna M. Paolucci

A theory of higher rank multiresolution analysis is given in the setting of abelian multiscalings. This theory enables the construction, from a higher rank MRA, of finite wavelet sets whose multidilations have translates forming an…

Functional Analysis · Mathematics 2019-08-15 Sean Olphert , Stephen C. Power

In this article we establish theory of semi-orthogonal Parseval wavelets associated to generalized multiresolution analysis (GMRA) for the local field of positive characteristics (LFPC). By employing the properties of translation invariant…

Functional Analysis · Mathematics 2015-11-19 Niraj K. Shukla , Saurabh Chandra Maury , Shiva Mittal

Sobolev wavefront sets and $2$-microlocal spaces play a key role in describing and analyzing the singularities of distributions in microlocal analysis and solutions of partial differential equations. Employing the continuous shearlet…

Functional Analysis · Mathematics 2020-10-12 Bin Han , Swaraj Paul , Niraj K. Shukla

The multiresolution analysis (MRA) associated with the Special affine Fourier transform (SAFT) provides a structured approach for generating orthonormal bases in \( L^2(\mathbb R) \), making it a powerful tool for advanced signal analysis.…

Functional Analysis · Mathematics 2026-01-12 Vikash K. Sahu , Waseem Z. Lone , Amit K. Verma

A multi-resolution hexahedron element and method is presented with a new multi-resolution analysis (MRA) framework. The MRA framework is formulated out of a mutually nesting displacement subspace sequence, whose basis functions are…

Computational Physics · Physics 2015-05-27 Yi Ming Xia , Shao Lin Chen

We identify multiresolution subspaces giving rise via Hankel transforms to Bessel functions. They emerge as orthogonal systems derived from geometric Hilbert-space considerations, the same way the wavelet functions from a multiresolution…

Functional Analysis · Mathematics 2007-05-23 P. E. T. Jorgensen , A. Paolucci

We construct fractional Sobolev spaces on arbitrary time scales, both in one dimension and on product time scales. In 1D, we define $W^{\alpha(\cdot),p}_{\mathrm{rd}}(\mathcal I)$ through a variable-order Gagliardo-type seminorm and prove…

Dynamical Systems · Mathematics 2026-03-10 Hafida Abbas , Abdelhalim Azzouz

We study $p$-adic multiresolution analyses (MRAs). A complete characterisation of test functions generating MRAs (scaling functions) is given. We prove that only 1-periodic test functions may be taken as orthogonal scaling functions. We…

Classical Analysis and ODEs · Mathematics 2008-02-11 S. Albeverio , S. Evdokimov , M. Skopina

We set up a multiresolution analysis on fractal sets derived from limit sets of Markov Interval Maps. For this we consider the $\mathbb{Z}$-convolution of a non-atomic measure supported on the limit set of such systems and give a thorough…

Functional Analysis · Mathematics 2019-01-17 Jana Bohnstengel , Marc Kesseböhmer

We present a construction of a wavelet-type orthonormal basis for the space of radial $L^2$-functions in $\R^3$ via the concept of a radial multiresolution analysis. The elements of the basis are obtained from a single radial wavelet by…

Functional Analysis · Mathematics 2007-05-23 Holger Rauhut , Margit Rösler

We construct multidimensional interpolating tensor product MRA's of the function spaces $C_0(\mathbb{R}^n,K)$, $K = \mathbb{R}$ or $K = \mathbb{C}$, consisting of real or complex valued functions on $\mathbb{R}^n$ vanishing at infinity and…

Functional Analysis · Mathematics 2024-06-21 Tommi Höynälänmaa

We construct a multiresolution theory for spaces bigger then L^2(R). For a good choice of the dilation and translation operators on these larger spaces, it is possible to build singly generated wavelet bases, thus obtaining examples of…

Functional Analysis · Mathematics 2007-10-25 Stefan Bildea , Dorin Ervin Dutkay , Gabriel Picioroaga

In this paper, we study the convolution structure in the special affine Fourier domain to combine the advantages of the well known special affine Fourier and wavelet transforms into a novel integral transform coined as special affine…

Functional Analysis · Mathematics 2020-10-06 Firdous A. Shah , Waseem Z. Lone

A new multiresolution quadrilateral plate element is proposed and a multiresolution finite element method is hence presented. The multiresolution analysis (MRA) framework is formulated out of a mutually nesting displacement subspace…

Numerical Analysis · Mathematics 2014-11-14 YiMing Xia

Generalized multiresolution analyses are increasing sequences of subspaces of a Hilbert space $\H$ that fail to be multiresolution analyses in the sense of wavelet theory because the core subspace does not have an orthonormal basis…

Functional Analysis · Mathematics 2007-10-11 Lawrence W. Baggett , Nadia S. Larsen , Kathy D. Merrill , Judith A. Packer , Iain Raeburn

In this paper, we employ Meyer wavelets to characterize multiplier spaces between Sobolev spaces without using capacity. Further, we introduce logarithmic Morrey spaces $M^{t,\tau}_{r,p}(\mathbb{R}^{n})$ to establish the inclusion relation…

Analysis of PDEs · Mathematics 2013-01-07 Pengtao Li , Qixiang Yang , Yueping Zhu

We present a notion of frame multiresolution analysis on the Heisenberg group, abbreviated by FMRA, and study its properties. Using the irreducible representations of this group, we shall define a sinc-type function which is our starting…

Functional Analysis · Mathematics 2015-05-13 Azita Mayeli

In this paper novel classes of 2-D vector-valued spatial domain wavelets are defined, and their properties given. The wavelets are 2-D generalizations of 1-D analytic wavelets, developed from the Generalized Cauchy-Riemann equations and…

Statistics Theory · Mathematics 2010-05-10 S. C. Olhede , G. Metikas
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