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Open AccessJournal ArticleDOI

Multiresolution approximations and wavelet orthonormal bases of L^2(R)

Stephane G. Mallat
- 01 Jan 1989 - 
- Vol. 315, Iss: 1, pp 69-87
TLDR
In this paper, the authors study the properties of multiresolution approximation and prove that it is characterized by a 2π periodic function, which is further described in terms of wavelet orthonormal bases.
Abstract
A multiresolution approximation is a sequence of embedded vector spaces   V j  jmember Z for approximating L 2 (R) functions. We study the properties of a multiresolution approximation and prove that it is characterized by a 2π periodic function which is further described. From any multiresolution approximation, we can derive a function ψ(x) called a wavelet such that   √  2 j ψ(2 j x −k)   (k ,j)member Z 2 is an orthonormal basis of L 2 (R). This provides a new approach for understanding and computing wavelet orthonormal bases. Finally, we characterize the asymptotic decay rate of multiresolution approximation errors for functions in a Sobolev space H s .

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Citations
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Journal ArticleDOI

Direct limits, multiresolution analyses, and wavelets

TL;DR: In this paper, direct limits are used to construct wavelet bases in a variety of concrete Hilbert spaces of functions, such as dilation matrices on L2(Rn), the wavelets on fractals studied by Dutkay and Jorgensen, and Hilbert spaces on solenoids.
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A wavelet based multiresolution algorithm for rotation invariant feature extraction

TL;DR: The proposed rotation invariant retrieval algorithm, suitable for both texture and nontexture images, avoids missing any relevant images but may retrieve some other images which are not very relevant, which can be retrieved by pruning out irrelevant images.
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Wavelet-Taylor Galerkin Method for the Burgers Equation

TL;DR: In this article, a wavelet-Taylor Galerkin method was proposed for the numerical solution of the Burgers equation, where the advection and diffusion terms were separated, and the solution was computed in two phases by appropriate wavelet and Taylor-Galerkin schemes.
Book ChapterDOI

Gabor frames for L2 and related spaces

TL;DR: In this article, the basic theory of frames is reviewed, and special topics dealing with Gabor frames and decompositions are developed, such as Gabor decomposition of L 1 and of Bessel potential spaces.
Journal ArticleDOI

High-resolution velocimetry from tracer particle fields using a wavelet-based optical flow method

TL;DR: A wavelet-based optical flow method for high-resolution velocimetry based on tracer particle images is presented in this article, which is designed for improvements in processing experimental images by implementing wavelet transforms with the lifting method and symmetric boundary conditions.
References
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Journal ArticleDOI

A theory for multiresolution signal decomposition: the wavelet representation

TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
Journal ArticleDOI

Orthonormal bases of compactly supported wavelets

TL;DR: This work construct orthonormal bases of compactly supported wavelets, with arbitrarily high regularity, by reviewing the concept of multiresolution analysis as well as several algorithms in vision decomposition and reconstruction.
Journal ArticleDOI

Decomposition of Hardy functions into square integrable wavelets of constant shape

TL;DR: In this article, the authors studied square integrable coefficients of an irreducible representation of the non-unimodular $ax + b$-group and obtained explicit expressions in the case of a particular analyzing family that plays a role analogous to coherent states (Gabor wavelets) in the usual $L_2 $ -theory.
Journal ArticleDOI

Exact reconstruction techniques for tree-structured subband coders

TL;DR: It is shown that it is possible to design tree-structured analysis/reconstruction systems which meet the sampling rate condition and which result in exact reconstruction of the input signal.
Journal ArticleDOI

Analysis of sound patterns through wavelet transforms

TL;DR: The main features of so-called wavelet transforms are illustrated through simple mathematical examples and the first applications of the method to the recognition and visualisation of characteristic features of speech and of musical sounds are presented.