Trigonometric rational wavelet bases
نویسنده
چکیده
We propose a construction of periodic rational bases of wavelets First we explain why this problem is not trivial Construction of wavelet basis is not possible neither for the case of alge braic polynomials nor for the case of rational algebraic functions Of course algebraic polynomials do not belong to L R Nevertheless they can belong to the closure of L R in topology of the generalized convergence However there is not polynomial bases because any shift of polynomial is a polynomial of the same degree So dimension of linear span of a set of polimomial shifts has a nite dimension As for rational bases the reason of non existance is di erent It is clear that the rational function whose shifts f x n g constitutes a basis of the space V cannot have poles in the real line Let d is a maximal distance from poles of x to the real line The function x generates a basis in V V A maximal distance from poles of x to the real line is equal to d It contradicts to the fact that the function x in some sence can be approximated by linear combinations of f x n g Recall classic construction of periodic polynomial wavelets It is based on periodization of non periodic Multiresolution analysis MRA consisting of entire functions As above MRA Meyer s wavelets or any their mod i cations can be taken These examples of triginometric polynomial MRA allowed to resolve many non trivial problems of Analysis relating to con structing orthogonal polynomial bases with special properties We intend to propose MRA that possesses the following three properties the MRA consists of rational trigonometric functions the uniform limit function of the sequence of the periodic interpolating scaling functions n x is the Shannon scaling function
منابع مشابه
Biorthogonal Smooth Local Trigonometric Bases
In this paper we discuss smooth local trigonometric bases. We present two generalizations of the orthogonal basis of Malvar and Coifman-Meyer: biorthogonal and equal parity bases. These allow natural representations of constant and, sometimes, linear components. We study and compare their approximation properties and applicability in data compression. This is illustrated with numerical examples.
متن کاملInterpolatory and Orthonormal Trigonometric Wavelets
The aim of this paper is the detailed investigation of trigono-metric polynomial spaces as a tool for approximation and signal analysis. Sample spaces are generated by equidistant translates of certain de la Vall ee Poussin means. The diierent de la Vall ee Poussin means enable us to choose between better time-or frequency-localization. For nested sample spaces and corresponding wavelet spaces,...
متن کاملFast Compression of Seismic Data with Local Trigonometric Bases
Our goal in this paper is to provide a fast numerical implementation of the local trigonometric bases algorithm1 in order to demonstrate that an advantage can be gained by constructing a biorthogonal basis adapted to a target image. Different choices for the bells are proposed, and an extensive evaluation of the algorithm was performed on synthetic and seismic data. Because of its ability to re...
متن کاملHyperbolic Wavelet Approximation
We study the multivariate approximation by certain partial sums (hyperbolic wavelet sums) of wavelet bases formed by tensor products of univariate wavelets. We characterize spaces of functions which have a prescribed approximation error by hyperbolic wavelet sums in terms of a K -functional and interpolation spaces. The results parallel those for hyperbolic trigonometric cross approximation of ...
متن کاملOn a Conjecture about Mra Riesz Wavelet Bases
Let φ be a compactly supported refinable function in L2(R) such that the shifts of φ are stable and φ̂(2ξ) = â(ξ)φ̂(ξ) for a 2π-periodic trigonometric polynomial â. A wavelet function ψ can be derived from φ by ψ̂(2ξ) := e−iξ â(ξ + π)φ̂(ξ). If φ is an orthogonal refinable function, then it is well known that ψ generates an orthonormal wavelet basis in L2(R). Recently, it has been shown in the liter...
متن کامل