对称反对称多重尺度函数的构造

１　多重小波的定义和双尺度相似变换 作为一种分析工具,小波已经运用在各种领域,并取得了显著的成果．近年来,多重小波成为小波研究的热点．Ｉ．Ｄａｕｂｅｃｈｉｅｓ［１］已经证明,对单重小波,除Ｈａｒｒ基外不存在对称和反对称的有紧支集的小波正交基．而多重小波则不受这一限制． 利用分形插值的方法,Ｇｅｒｏｎｉｍｏ、Ｈａｒｄｉｎ和 Ｍａｓｓｏｐｕｓｔ［２］等构造出了ＧＨＭ多重小波,相应的多重尺度函数和多重小波函数如图１和图２所示．ＧＨＭ多重小波的两个尺度函数都是对称的,相应的小波函数则一个对称另一个反对称;…     

Correlation Wavelet and its Applications

§１．　ＤａｕｂｅｃｈｉｅｓＷａｖｅｌｅｔｓａｎｄＣｏｒｒｅｌａｔｉｏｎＷａｖｅｌｅｔｓＡｓｗｅｋｎｏｗ,Ｄａｕｂｅｃｈｉｅｓｓｃａｌｉｎｇｆｕｎｃｔｉｏｎφ（ｘ）ａｎｄｗａｖｅｌｅｔｆｕｎｃｔｉｏｎψ（ｘ）ｈａｖｅｔｈｅｆｏｌ－ｌｏｗｉｎｇｐｒｏｐｅｒｔｉｅｓ：１．φ（ｘ）ｉｓａｇｅｎｅｒａｔｉｎｇｅｌｅｍｅｎｔｆｏｒａｍｕｌｔｉｒｅｓｏｌｕｔｉｏｎａｎａｌｙｓｉｓ（ＭＲＡ）,ｓｕｐｐφ（ｘ）＝［０,２Ｎ－１］,ｏｒｔｈｏｇｏｎａｌｗｉｔｈｉｎｔｅｇｅｒｔｒａｎｓｌａｔｉｏｎｓ．Ｇｅｎｅｒａｌ…     

一类小波的正则阶估计

１引言我们知道,一个可生成Ｌ２（Ｒ）中的多分辩分析的尺度函数（ｘ）满足双尺度差分方程（１）式的Ｆｏｕｒｉｅｒ变换为其中（ω）是函数（ｘ）的Ｆｏｕｒｉｅｒ变换,而叫做小波的共轭滤波器（简称滤波器）,它满足若将滤波器Ｈ（ω）设成则条件（３）成为可形式地写出Ｄａｕｂｅｃｈｉｅｓ［１］给出了（６）式无穷乘积收敛的条件．她还针对Ｆ（ｚ）为多项式情形（此时称滤波器为多项式滤波器）,给出了产生紧支小波的方法并给出了正则阶估计［２］．在［３］中,作者给出了小波分式滤波器的定义（即（４）式中Ｆ（ｚ））是实系数有理…     

不同尺度下多项式滤波器的优化算法

１　　引　言 在小波分析的应用中,紧支撑正交对称的小波是非常可贵的．尤其是对称性,它在实际应用中具有非常重要的意义．但Daubechies的具有紧支撑正交小波无任何对称性和反对称性（除Haar小波外）．为了克服这一不足,崔锦泰和王建忠［１］提出了样条小波,样条小波用失去正交性换来了小波的对称性．A.Cohen［２］等引入了双正交小波似乎解决了这一问题,但它需要两个对偶的小波．匡正［３］等采用了小波的分式滤波器构造出了既正交又对称的小波,但却没有有限的支撑区间．本文欲采用优化的方法给出了一种构造具有任意正则性的多项式…     

小波标架的稳定性

在小波分析理论中,标架起着十分重要的作用．对(∈Ｌ~２（Ｒ）和ａ＞１．ｂ＞０,Ｉ．Ｄａｕｂｅｃｈｉｅｓ给出了｛ａ~（ｊ／２）(（ａ~ｊｘ—ｋｂ）：ｊ,ｋ ∈Ｚ｝构成Ｌ~２（Ｒ）的标架的充分条件．近年来,人们对小波标架的稳定性进行了大量研究．首先把Ｋａｄｅｃ定理推广到高维情形,然后研究当(,｛ａ~ｊ｝,｛ｋ｝同时变化时标架的稳定性．特别地,我们给出｛ａ~ｊ｝扰动时标架的稳定性．     

正交小波包的构造

本文给出尺度因子ａ＝４时正交小波包的构造，推广了［２，４］引入的正交小波包，并给出相应的分解与再构造算法．本文引入的正交小波包具有保持信号ｆ∈Ｌ^２的线性相位，也讨论了尺度因子ａ＝ｋ（ｋ∈Ｚ，ｋ≥２）正交小波的构造     

一种基于小波尺度函数变换的Laplace反演方法

该文基于Ｄａｕｂｅｃｈｉｅｓ小波尺度函数变换建立了关于Ｌａｐｌａｃｅ变换的一种反演数值方法．通过对小波尺度函数的低带通谱特性的定性与定量讨论,给出了这一反演方法所得原像函数的适用域．结果发现：其区域大小随着小波尺度函数的分辨指标（ｒｅｓｏｌｕｔｉｏｎｌｅｖｅｌ）选取的升高而增大．最后,以颤振曲线、具有指数增长的复函数、和一维振动弦的初边值问题等为例,定量给出了其反演方法的数值结果．通过与相应的原像精确结果对比发现：在反演的有效区域内,其数值反演的原像几乎与精确的原像图象重合．这表明这一Ｌａｐｌａｃｅ反演数值方法是有效和可靠的．     

On the Structure of the B—cocleft Module Coalgebra

§１．　ＴｈｅＥｑｕｉｖａｌｅｎｔＴｈｅｏｒｅｍｏｆｔｈｅＣｒｏｓｓｅｄＣｏｐｒｏｄｕｃｔＬｅｔＣｂｅａｌｅｆｔＨ－ｗｅａｋｌｙｃｏｍｏｄｕｌｅｃｏａｌｇｅｂｒａ［４］ｗｉｔｈｔｈｅｓｔｒｕｃｔｕｒｅρ－Ｃ（ｃ）＝∑ｃ（１）ｃ（２）．ＤｂｅｌｅｆｔＨ－ｍｏｄｕｌｅｃｏａｌｇｅｂｒａ［２］ｗｉｔｈｔｈｅｓｔｒｕｃｔｕｒｅ“”．Ｆｏｒα∈Ｈｏｍκ（Ｃ，ＨＨ）ｄｅｎｏｔｅα（ｃ）＝∑α１（ｃ）α２（ｃ）．Ｄｅｆｉｎｅ△－：ＣＤ→（ＣＤ）（ＣＤ）ａｎｄε－：ＣＤ→κａｓｆｏｌｌｏｗ－ｉ…     

The Pell Equations x^2—8y^2=1 and y2—Dz^2=1

ＯｎｔｈｅＰｅｌｌｅｑｕａｔｉｏｎｓｘ２－８ｙ２＝１,　ｙ２－Ｄｚ２＝１（１）ｗｈｅｒｅＤ＞０ｉｓａｓｑｕａｒｅ－ｆｒｅｅｉｎｔｅｇｅｒ．ＣａｏＺｈｅｎｆｕ［１］ｓｈｏｗｅｄｔｈａｔｉｆＤ＝∏ｓｉ＝１Ｐｉ≡１（ｍｏｄ４）ｏｒＤ＝２∏Ｐｉ,１≤ｓ≤４,ｔｈｅｎｔｈｅｅｑｕａｔｉｏｎ（１）ｈａｓｎｏｌｙｐｏｓｉｔｉｖｅｉｎｔｅｇｅｒｓｏｌｕｔｉｏｎｚ＝６（Ｄ＝２·１７）．ＣｈｅｎｇＪｉａｎｈｕａ［２］ｓｈｏｗｅｄｔｈａｔｉｓＤ＝∏ｓｉ＝１Ｐｉ　１≤ｓ≤２,ｔｈｅｎｔｈｅｅｑｕａｔｉｏｎ（１）ｈａｓｏ…     

Minimum Ellipsiod and Optim alDesign

§０．　ＩｎｔｒｏｄｕｃｔｉｏｎＩｎｔｈｅｐａｐｅｒ［１］，ＫｉｅｆｅｒａｎｄＷｏｌｆｏｗｉｔｚｓｏｌｖｅｄｔｈｅｅｑｕｉｖａｌｅｎｃｅｏｆＧ－ｏｐｔｉｍａｌｄｅｓｉｇｎａｎｄＤ－ｏｐｔｉｍａｌｄｅｓｉｇｎ．Ｉｎｔｈｅｐａｐｅｒ［２］，ＫａｉｌｉｎａｎｄＳｔｕｄｄｅｎｓｔｕｄｉｅｄｔｈｅａｌｇｅｂｒａｉｃｓｔｒｕｃｔｕｏｅｏｆｃｏｎｃｅｓ－ｓｉｏｎａｌｄｅｓｉｇｎ，Ｄ－ｏｐｔｉｍａｌａｎｄＣ－ｏｐｔｉｍａｌｄｅｓｉｇｎ．Ｉｎｔｈｅｐａｐｅｒ［３］，ＳｐｒｕｉｌｌｓｔｕｄｉｅｄｔｈｅＣ－ｏｐｔｉｍ…     

Symmetric orthonormal scaling functions and wavelets with dilation factor 4

It is well known that in the univariate case, up to an integer shift and possible sign change, there is no dyadic compactly supported symmetric orthonormal scaling function except for the Haar function. In this paper we are concerned with the construction of symmetric orthonormal scaling functions with dilation factor d=4. Several examples of such orthonormal scaling functions are provided in this paper. In particular, two examples of C ¹ orthonormal scaling functions, which are symmetric about 0 and 1/6, respectively, are presented. We will then discuss how to construct symmetric wavelets from these scaling functions. We explicitly construct the corresponding orthonormal symmetric wavelets for all the examples given in this paper. This revised version was published online in June 2006 with corrections to the Cover Date.     

Compactly supported (bi)orthogonal wavelets generated by interpolatory refinable functions

This paper provides several constructions of compactly supported wavelets generated by interpolatory refinable functions. It was shown in [7] that there is no real compactly supported orthonormal symmetric dyadic refinable function, except the trivial case; and also shown in [10,18] that there is no compactly supported interpolatory orthonormal dyadic refinable function. Hence, for the dyadic dilation case, compactly supported wavelets generated by interpolatory refinable functions have to be biorthogonal wavelets. The key step to construct the biorthogonal wavelets is to construct a compactly supported dual function for a given interpolatory refinable function. We provide two explicit iterative constructions of such dual functions with desired regularity. When the dilation factors are larger than 3, we provide several examples of compactly supported interpolatory orthonormal symmetric refinable functions from a general method. This leads to several examples of orthogonal symmetric (anti‐symmetric) wavelets generated by interpolatory refinable functions. This revised version was published online in June 2006 with corrections to the Cover Date.     

A class of compactly supported orthogonal symmetric complex wavelets with dilation factor 3

When approximation order is an odd positive integer a simple method is given to construct compactly supported orthogonal symmetric complex scaling function with dilation factor 3. Two corresponding orthogonal wavelets, one is symmetric and the other is antisymmetric about origin, are constructed explicitly. Additionally, when approximation order is an even integer 2, we also give a method to construct compactly supported orthogonal symmetric complex wavelets. In the end, there are several examples that illustrate the corresponding results.     

Biorthogonal bases of compactly supported wavelets

Orthonormal bases of compactly supported wavelet bases correspond to subband coding schemes with exact reconstruction in which the analysis and synthesis filters coincide. We show here that under fairly general conditions, exact reconstruction schemes with synthesis filters different from the analysis filters give rise to two dual Riesz bases of compactly supported wavelets. We give necessary and sufficient conditions for biorthogonality of the corresponding scaling functions, and we present a sufficient conditions for the decay of their Fourier transforms. We study the regularity of these biorthogonal bases. We provide several families of examples, all symmetric (corresponding to “linear phase” filters). In particular we can construct symmetric biorthogonal wavelet bases with arbitraily high preassigned regularity; we also show how to construct symmetric biorthogonal wavelet bases “close” to a (nonsymmetric) orthonormal basis.     

Symmetric–Antisymmetric Orthonormal Multiwavelets and Related Scalar Wavelets

For compactly supported symmetric–antisymmetric orthonormal multiwavelet systems with multiplicity 2, we first show that any length-2Nmultiwavelet system can be constructed from a length-(2N+1) multiwavelet system and vice versa. Then we present two explicit formulations for the construction of multiwavelet functions directly from their associated multiscaling functions. This is followed by the relationship between these multiscaling functions and the scaling functions of related orthonormal scalar wavelets. Finally, we present two methods for constructing families of symmetric–antisymmetric orthonormal multiwavelet systems via the construction of the related scalar wavelets.     

Examples of refinable componentwise polynomials

This short note presents four examples of compactly supported symmetric refinable componentwise polynomial functions: (i) a componentwise constant interpolatory continuous refinable function and its derived symmetric tight wavelet frame; (ii) a componentwise constant continuous orthonormal and interpolatory refinable function and its associated symmetric orthonormal wavelet basis; (iii) a differentiable symmetric componentwise linear polynomial orthonormal refinable function; (iv) a symmetric refinable componentwise linear polynomial which is interpolatory and differentiable.     

向量值双正交小波的存在性及滤波器的构造

引进了向量值多分辨分析与向量值双正交小波的概念.讨论了向量值双正交小波的存在性.运用多分辨分析和矩阵理论,给出一类紧支撑向量值双正交小波滤波器的构造算法.最后,给出4-系数向量值双正交小波滤波器的的构造算例.     

Daubechies compactly supported wavelets with minimal heisenberg boxes

The centers and radii of orthonormal scaling functions and wavelets are found in time and frequency domains using a two-scale relation. All compactly supported orthogonal wavelets with support on the interval [0, 3] fail to have radii in the frequency domain. On the other hand, a Daubechies wavelet with support on the interval [0, 3] has optimal resolution in the frequency domain. Vilnius University, Naugarduko 24, 2006 Vilnius, Lithuania. Published in Lietuvos Matematikos Rinkinys, Vol. 35, No. 8 pp. 432–455, October–December, 1995.     

On progressive functions

Progressive functions at time t involve only the progressive functions at time before t and some nice compactly supported function at time t. We give sufficient conditions and explicit formulas to construct progressive functions with exponential decay and characterize the conditions on which the positive integer translates of a progressive function are orthonormal or a Riesz sequence. We provide explicit ways for construction of orthonormal progressive functions and for construction of the biorthogonal functions of nonorthogonal progressive functions. Such progressive functions can be used to construct wavelets with arbitrary smoothness on the half line if they are generated by a smooth refinable compactly supported function.     

二元紧支撑正交小波的构造

§ 1.　Introduction　　SinceDAUBECHIES [1 ]gavethewellknownconstructionofunivariatecompactlysup portedorthonormalwavelets,considerableattertionhasbeenspentonconstructingmultivariatecompactlysupportedorthonormalwavelets [2— 5etc.] .Althoughmanyspecialbivariatenon separablewaveletshavebeenconstructed ,itisstillanopenproblemhowtoconstructbivariatecompactlyorthonormalwaveletsforanygivencompactlysupportedscalingfunction .Thepur poseofthispaperistoconstructcompactlysupportedorthogonalwaveletass…