紧支集双正交小波及其对应的FIR滤波器的一种构造方法

给出了一种利用Ｂ样条构造具有线性相位的紧支集对偶尺度函数，对应的紧支集双正交小波及其相应的ＦＩＲ滤波器组的方法。     

一类长度为4的紧支撑正交小波基构造

根据紧支撑正交小波基的构造方法,由滤波器出发,构造满足Lawton充分条件的长度为4带参数的滤波器,它是文献[7]和[8]的一个推广。找到更一般化的具有紧支撑的正交小波基,并进行一维信号仿真实验,得到当m=2,a=5及m=3,a=10的正交小波在阈值=1的情况下,无论是用软阈值函数还是硬阈值函数,其信噪比都大于db2小波。     

一种基于正交多小波的自适应均衡算法

该文提出了用正交多小波来表示均衡器,由于多小波可同时具有正交性、紧支性和线性相位等特点,因此经多小波变换后所得到的信号相关阵的稀疏化估计与单小波变换相比非零元素较少,边界效应减小,基于此,文中给出了正交多小波变换域的一种Newton-LMS类自适应均衡算法,其计算复杂性可通过有预处理的共轭梯度法进一步降低为O(N log N),仿真结果表明了该算法收敛速度较快,且易于实时实现。     

⊥-范数正交小波的构造

本文通过使用⊥-范数方法构造一系列具有"正交"性质的对称小波,并介绍对称矩阵的构造方法.     

┴＿范数正交小波的构造

本文通过使用┴＿范数方法构造一系列具有“正交”性质的对称小波,并介绍对称矩阵的构造方法。     

正交多小波的一种构造方法

给出一种由正交多尺度函数构造其相应正交多小波的新方法，该方法具有计算简单且不受多小波重数限制的特点，不用求解关于多元未知矩阵的非线性方程组或进行相应的多项式矩阵的因子分解。与已有的通过选取参数来确定多小波系统的方法相比，因为他由尺度序列直接确定小波序列，不必考虑改变参数时这两个序列之间相关的变化，所以更便于灵活地设计出具有各种所需特性的多小波系统。用该方法重新导出了GHM多小波。     

FIR完全重建滤波器组构造双正交小波基

本文论述了由双正交完全重建滤波器组构造高度正则的双正交小波基的充分条件和构造方法，系统地研究了双正交线性相位ＦＩＲ完全重建滤波器组的解的结构和已知Ｈ０（ｚ）构造完全重建滤波器组的方法，并且实现了用单一的传递函数Ａ（ｚ）构造线性相位ＦＩＲ双正交完全重建滤波器组的设计方法。这种方法的突出优点是滤波器组分析、合成部分中的滤波器可以用数值优化的方法使两者同时逼近理想低通滤波器和理想高通滤波器，即具有良好的频率选择性，并且所有滤波器都具有线性相位的特点。该滤波器组具有良好的梯形实现结构。在具体的滤波器设计中提出了基于均方误差最小准则的特征滤波器的设计方法和基于误差最大值最小准则的Ｒｅｍｅｚ交换法。而且上述方法设计的滤波器组可以构造出具有高度正则性的光滑的双正交小波基。     

线性完全重构的二维滤波器组的Groebner基设计

为设计线性完全重构的二维滤波器组,引用了计算代数中的Groebner基方法,根据线性相位条件和完全重构条件,分别设计出二维滤波器组的分析滤波器和综合滤波器的多相元矩阵,给出其参数化形式。根据小波构造理论,利用所设计的分析滤波器组构造出一个对称的纯二维小波。设计结果显示了Groebner基方法的有效性,设计方法更为简单。     

Q-shift复小波的一种新型构造方法及其在图像去噪中的应用

为了提高复小波变换的效率,本文提出了一种设计Q-shift复小波滤波器的新方法。与目前采用多相位矩阵的晶格分解结构得到正交小波的方法不同的是,这里从更为一般的完全重构滤波器组出发寻求满足特定要求的正交小波。不但可以构造出系数更为简单、运算更加方便的小波,而且可以实现任意精度的复小波变换。该方法的可拓展性好,可以很方便的添加如高阶消失矩等限制并简化设计过程。以普遍采用的Q-shift10/10小波为例,利用本文构造的正交小波可将复小波变换中的乘法运算降低到原来的1/3,而加法基本相当,且小波的频率选择性质更好。将其用于图像去噪的实验表明,采用本文构造的小波可以显著提高处理速度并得到更高的峰值信噪比(PSNR)。     

具有任意正则阶的M-带对称正交小波设计

利用计算代数中Grobner基与合冲模的概念与算法,论文提出了一种多相位矩阵的正交化方法,在此基础上得到了同时具有对称性和任意正则阶的M-带正交小波的高效设计方法.克服了现有算法构造过程复杂以及不能保持线性相位的缺陷,另外,当所求得的尺度滤波器系数为参数形式时,本文算法求得的小波滤波器也为含参数的,因而可以根据实际问题灵活选取适当参数从而得到所需要的M-带小波系统.     

采用频域紧支集正交小波基消除瞬态散射回波中的高斯白噪声干扰

本文提出一种采用频域紧支集正交小波基的非线性柔性阈值波方法,该方法利用频域紧集小波基的良好频谱特性和信号压缩能力,有效地消除了高斯白噪声对瞬态散射回波的干扰。     

正交小波(包)变换的算子矩阵

本文采用纯数学的方式,构造性地直接证明了对于长度为2的整数次幂的有限长离散信号,它的有限支撑的正交小波(包)变换算子可以用一个大小与信号长度一样的正交矩阵来表示,并且给出了该矩阵构造的一般方法和规律.     

Complex, linear-phase filters for efficient image coding

With the exception of the Haar basis, real-valued orthogonal wavelet filter banks with compact support lack symmetry and therefore do not possess linear phase. This has led to the use of biorthogonal filters for coding of images and other multidimensional data. There are, however, complex solutions permitting the construction of compactly supported, orthogonal linear phase QMF filter banks. By explicitly seeking solutions in which the imaginary part of the filter coefficients is small enough to be approximated to zero, real symmetric filters can be obtained that achieve excellent compression performance     

Two-dimensional orthogonal filter banks and wavelets with linearphase

Two-dimensional (2-D) compactly supported, orthogonal wavelets and filter banks having linear phase are presented. Two cases are discussed: wavelets with two-fold symmetry (centrosymmetric) and wavelets with four-fold symmetry that are symmetric (or anti-symmetric) about the vertical and horizontal axes. We show that imposing the requirement of linear phase in the case of order-factorable wavelets imposes a simple constraint on each of its polynomial order-1 factors. We thus obtain a simple and complete method of constructing orthogonal order-factorable wavelets with linear phase. This method is exemplified by design in the case of four-band separable sampling. An interesting result that is similar to the one well-known in the one-dimensional (1-D) case is obtained: orthogonal order-factorable wavelets cannot be both continuous and have four-fold symmetry     

M带Walter子波抽样定理

本文把2带的Walter子波抽样定理扩展到M带子波空间,构造出一类M带紧支撑正交插值尺度函数,并在一定范围内将其参数化。举例构造并证明了一个2阶3带插值尺度函数不仅是正交的,而且也是连续的。具有这样性质的Walter抽样定理(1992)在对多分辨空间的信号进行D/A转换时,除了计算机的有限字长误差外,没有任何截断误差。     

Orthogonal complex filter banks and wavelets: some properties anddesign

Previous wavelet research has primarily focused on real-valued wavelet bases. However, complex wavelet bases offer a number of potential advantageous properties. For example, it has been suggested that the complex Daubechies wavelet can be made symmetric. However, these papers always imply that if the complex basis has a symmetry property, then it must exhibit linear phase as well. In this paper, we prove that a linear-phase complex orthogonal wavelet does not exist. We study the implications of symmetry and linear phase for both complex and real-valued orthogonal wavelet bases. As a byproduct, we propose a method to obtain a complex orthogonal wavelet basis having the symmetry property and approximately linear phase. The numerical analysis of the phase response of various complex and real Daubechies wavelets is given. Both real and complex-symmetric orthogonal wavelet can only have symmetric amplitude spectra. It is often desired to have asymmetric amplitude spectra for processing general complex signals. Therefore, we propose a method to design general complex orthogonal perfect reconstruct filter banks (PRFBs) by a parameterization scheme. Design examples are given. It is shown that the amplitude spectra of the general complex conjugate quadrature filters (CQFs) can be asymmetric with respect the zero frequency. This method can be used to choose optimal complex orthogonal wavelet basis for processing complex signals such as in radar and sonar     

Wavelets with convolution-type orthogonality conditions

Wavelets with free parameters are constructed using a convolution-type orthogonality condition. First, finer and coarser scaling function spaces are introduced with the help of a two-scale relation for scaling functions. An inner product and a norm having convolution parameters are defined in the finer scaling function space, which becomes a Hilbert space as a result. The finer scaling function space can be decomposed into the coarser one and its orthogonal complement. A wavelet function is constructed as a mother function whose shifted functions form an orthonormal basis in the complement space. Such wavelet functions contain the Daubechies' compactly supported wavelets as a special case. In some restricted cases, several symmetric and almost compactly supported wavelets are constructed analytically by tuning free convolution parameters contained in the wavelet functions     

Generalized Discrete Multiwavelet Transform With Embedded Orthogonal Symmetric Prefilter Bank

Prefilters are generally applied to the discrete multiwavelet transform (DMWT) for processing scalar signals. To fully utilize the benefit offered by DMWT, it is important to have the prefilter designed appropriately so as to preserve the important properties of multiwavelets. To this end, we have recently shown that it is possible to have the prefilter designed to be maximally decimated, yet preserve the linear phase and orthogonal properties as well as the approximation power of multiwavelets. However, such design requires the point of symmetry of each channel of the prefilter to match with the scaling functions of the target multiwavelet system. It can be very difficult to find a compatible filter bank structure; and in some cases, such filter structure simply does not exist, e.g., for multiwavelets of multiplicity 2. In this paper, we suggest a new DMWT structure in which the prefilter is combined with the first stage of DMWT. The advantage of the new structure is twofold. First, since the prefiltering stage is embedded into DMWT, the computational complexity can be greatly reduced. Experimental results show that an over 20% saving in arithmetic operations can be achieved comparing with the traditional DMWT realizations. Second, the new structure provides additional design freedom that allows the resulting prefilters to be maximally decimated, orthogonal and symmetric even for multiwavelets of low multiplicity. We evaluated the new DMWT structure in terms of computational complexity, energy compaction ratio as well as the compression performance when applying to a VQ based image coding system. Satisfactory results are obtained in all cases comparing with the traditional approaches.     

Unified approach for constructing multiwavelets with approximation order using refinable super-functions

A unified approach for constructing a large class of multiwavelets is presented. This class includes Geronimo-Hardin-Massopust (1994), Alpert (1993), finite element and Daubechies-like multiwavelets. The approach is based on the characterisation of approximation order of r multiscaling functions using a known compactly supported refinable super-function. The characterisation is formulated as a generalised eigenvalue equation. The generalised left eigenvectors of the finite down-sampled convolution matrix L/sub f/ give the coefficients in the finite linear combination of multiscaling functions that produce the desired super-function. The unified approach based on the super-function theory can be used to construct new multiwavelets with short support, high approximation order and symmetry.