信号的一种快速子波分解

本文提出一种分析子波ｇ（ｔ），并在此基础上讨论了子波变换的性质和特点，提出复信号的正交子波变换与反变换并讨论了复信号的正交子波分解与恢复，最后给出一种快速算法。     

M带正交子波包理论

M带正交子波基由于所具有的优良特性得到了广泛关注。2带子波包具有划分较高频率倍频程的能力,可用于改善子波对时间-频率局部化的性能,推广了信号的适用范围。本文用类似于从2带正交子波基扩展到2带子波包的概念,建立了M带子波包的的理论框架,并把有关2带子波包的定义、概念和性质推广到一般的M带子波包,给出了相应的证明。     

广义Battle-Lamarie子波

从Haar尺度函数入手，提出尺度系数函数概念，引入时移因子，将Battle-Lemarie子波基拓展而构造出广义Battle-Lemarie多分辨分析基．然后从理论上论证这种拓展的合理性与广义Battle-Lemarie基的一些基本性质．研究结果表明：所有广义Battle-Lemarie基继承了(原始)Battle-Lemarie基的许多优点，比如标准正交性，时、频局域化特征和指数衰减性等，同时还得到一系列新的对称基，广义Battle-Lemarie基的正则性优于相应的(原始)Battle-Lemarie基．     

用于信号逼近的最佳正交子波选择方法

离散子波变换将离散时间信号分解为一系列分辨率下的离散逼近和离散细节，紧支的正交规范子波与完全重建正交镜象滤波器组相对应。本文提出一种用于信号最佳逼近的正交子波选择方法，即选择满足一定条件的滤波器的方法。通过对滤波器参数化，可以将带约束的最佳化问题转化为无约束最优化问题，通过对参数在一定范围内的搜索，得到最优解，文中给出了计算机模拟的结果。     

广义Battle2Lemarié子波

从Haar尺度函数入手 ,提出尺度系数函数概念 ,引入时移因子 ,将Battle Lemari啨子波基拓展而构造出广义Battle Lemari啨多分辨分析基 .然后从理论上论证这种拓展的合理性与广义Battle Lemari啨基的一些基本性质 .研究结果表明 :所有广义Battle Lemari啨基继承了 (原始 )Battle Lemari啨基的许多优点 ,比如标准正交性 ,时、频局域化特征和指数衰减性等 ,同时还得到一系列新的对称基 ,广义Battle Lemari啨基的正则性优于相应的 (原始 )Battle Lemari啨基     

用于信号逼近的最佳正交子波选择方法

离散子波变换将离散时间信号分解为一系列分辨率下的离散逼近和离散细节。紧支的正交规范子波与完全重建正交镜象滤波器组相对应。本文提出一种用于信号最佳逼近的正交子波选择方法,即选择满足一定条件的滤波器的方法。通过对滤波器参数化,可以将带约束的最优化问题转化为无约束最优化问题,通过对参数在一定范围内的搜索,得到最优解。文中给出了计算机模拟的结果。     

自适应门限子波消噪的专用芯片研究

本文从子波变换与完全重构FIR滤波器组的特定关系出发,将输入数据按一定规律重新排列之后实时地将数据分解到不同的尺度空间,然后经过正交子波基的Donoho非线性软门限消处理。同时,推导出信号休止期内的相对实时自适应噪声方差处。在此子波消噪专用芯片的研究过程中,利用可编程逻辑器件CPLD进行了时序仿真和验证,为超大规模子波芯片设计及实时应用提供一个良好的工作基础。     

用计算全息制作二维Haar小波变换滤波器的研究

提出了用计算全息制作三类Haar子波滤波器的方法。将一维Haar子波函数组合,将得到三种类型的二维Haar子波函数,利用这三类二维Haar子波可以分别对图像进行角、水平边和垂直边的提取。采用罗曼Ⅲ型迂回位相编码法对三类Haar子波函数进行编码,绘出计算全息图。为了提高全息图的质量,采用显示器分屏抓图的办法,将全息图分割输出。在4f系统中实现对二维图像的三类Haar子波变换,给出了提取二值图像特征的模拟结果。     

子波变换在信号奇异性分析中的应用

信号时频分析对电子战侦察有重要意义。子波变换被认为对此有极大价值。对于波变换及其应用展开讨论。着重论述了子波变换的起源背景、子波变换是否无所不能和单尺度哈尔(Haar)子波平移变换检测信号瞬时频率，并对用于波变换脊分析无线电信号的方法所存在的局限性进行简要讨论。     

M带正交子波包理论

Ｍ带正交了波基由于所具有的优良特性得到了广泛关注。２带子波包具有划分较高频率倍频程的能力，可用于改善以对时间－频率哗的性能，推广了信号的适用范围。本文用类似于从２带正交子波基扩展到２带子波包的概念建立了Ｍ带子波包的理论框架，并把有关２带子波包的定义、概念放性质推广到一般的Ｍ带子波包，给出了相应的证明。     

Wavelet-based multicarrier transmission over multipath wirelesschannels

The conventional Fourier-based complex exponential carriers of a multicarrier system are replaced with orthonormal wavelets in order to reduce the interference. The wavelets are derived from a multistage tree-structured Haar and Daubechies orthonormal quadrature mirror filter (QMF) bank. Compared with the conventional OFDM, it is found that these wavelets reduce the power of ISI and ICI     

A new class of orthonormal symmetric wavelet bases using a complexallpass filter

This paper considers the design of the whole sample symmetric (WSS) paraunitary filterbanks composed of a single complex allpass filter and gives a new class of real-valued orthonormal symmetric wavelet bases. First, the conditions that the complex allpass filter has to satisfy are derived from the symmetry and orthonormality conditions of wavelets, and its transfer function is given to satisfy these conditions. Second, the paraunitary filter banks are designed by using the derived transfer function from the viewpoints of the regularity and frequency selectivity. A new method for designing the proposed paraunitary filterbanks with a given degrees of flatness is presented. The proposed method is based on the formulation of a generalized eigenvalue problem by using the Remez exchange algorithm. Therefore, the filter coefficients can be easily obtained by solving the eigenvalue problem, and the optimal solution is attained through a few iterations. Furthermore, both the maximally flat and minimax solutions are also included in the proposed method as two specific cases. The maximally flat filters have a closed-form solution without any iteration. Finally, some design examples are presented to demonstrate the effectiveness of the proposed method     

用余弦调制PR－FIR方法构造正交小波基

离散小波变换将离散时间信号分解为一系列不同分辨率下的离散近似信号和离散细节，紧支的正交规范小波与完全重构正交镜象滤波器（ＰＲ－ＱＭＦ）相对应。本文在“二带”正交小波基的构造条件下，利用余弦调制完全重构滤波器组的方法，实现了正交小波基的构造，计算模拟表明该方法非常简单、有效。     

A new design algorithm for two-band orthonormal rational filterbanks and orthonormal rational wavelets

We present a new algorithm for the design of orthonormal two-band rational filter banks. Owing to the connection between iterated rational filter banks and rational wavelets, this is also a design algorithm for orthonormal rational wavelets. It is basically a simple iterative procedure, which explains its exponential convergence and adaptability under various linear constraints (e,g., regularity). Although the filters obtained from this algorithm are suboptimally designed, they show excellent frequency selectivity. After an in-depth account of the algorithm, we discuss the properties of the rational wavelets generated by some designed filters. In particular, we stress the possibility to design “almost” shift error-free wavelets, which allows the implementation of a rational wavelet transform     

光滑正交小波库的构造及在信号去噪中的应用

针对实际应用中小波的多样性要求，提出应用构造光滑正交小波库的方法来解决这个矛盾，光滑正交小波库是基于规则性、非冗余性、完备性进行构造。文中把构造好的小波库应用到信号去噪中，实验结果证明，在绝大多数情况下基于正交小波库的去噪方法性能优于任何一种单一的小波。     

Algorithms for designing wavelets to match a specified signal

Algorithms for designing a mother wavelet /spl psi/(x) such that it matches a signal of interest and such that the family of wavelets {2/sup -(j/2)//spl psi/(2/sup -j/x-k)} forms an orthonormal Riesz basis of L/sup 2/(/spl Rscr/) are developed. The algorithms are based on a closed form solution for finding the scaling function spectrum from the wavelet spectrum. Many applications require wavelets that are matched to a signal of interest. Most current design techniques, however, do not design the wavelet directly. They either build a composite wavelet from a library of previously designed wavelets, modify the bases in an existing multiresolution analysis or design a scaling function that generates a multiresolution analysis with some desired properties. In this paper, two sets of equations are developed that allow us to design the wavelet directly from the signal of interest. Both sets impose bandlimitedness, resulting in closed form solutions. The first set derives expressions for continuous matched wavelet spectrum amplitudes. The second set of equations provides a direct discrete algorithm for calculating close approximations to the optimal complex wavelet spectrum. The discrete solution for the matched wavelet spectrum amplitude is identical to that of the continuous solution at the sampled frequencies. An interesting byproduct of this work is the result that Meyer's spectrum amplitude construction for an orthonormal bandlimited wavelet is not only sufficient but necessary. Specific examples are given which demonstrate the performance of the wavelet matching algorithms for both known orthonormal wavelets and arbitrary signals.     

M带离散时间子波变换

二带连续时间子波变换可由无限级树形正交镜像滤波器(QMF)组产生,类似地,二带离散时间子波变换可表示为有限级树形QMF组。该文对二带离散时间子波变换进行了推广,给出了M带离散时间于波变换,并研究了M带离散时间子波变换与M带仿酉滤波器组之间的关系。结果表明,在L级M带树形滤波器组中,如果每级滤波器组是仿酉滤波器组,则该树形滤波器组所产生的离散时间子波基是正交基。     

基于量子Haar小波的图像压缩

针对量子计算的Haar小波算法的研究现状,提出其在图像压缩方面的应用。引入正移置换矩阵,将经典Haar小波被分解为幺正矩阵直和、直积和点积的形式。再基于扩展Kronecker积将Haar小波矩阵表示为一系列的W-H矩阵和正移置换矩阵的组合。由此得出量子Haar小波的逻辑线路。最后创新性地采用量子模拟器进行量子Haar小波的彩色图像压缩实验,并给出实验结果。结果验证了量子Haar小波在图像压缩方面有着很好的可行性。     

Optimization of wavelet decomposition for image compression and feature preservation

A neural-network-based framework has been developed to search for an optimal wavelet kernel that can be used for a specific image processing task. In this paper, a linear convolution neural network was employed to seek a wavelet that minimizes errors and maximizes compression efficiency for an image or a defined image pattern such as microcalcifications in mammograms and bone in computed tomography (CT) head images. We have used this method to evaluate the performance of tap-4 wavelets on mammograms, CTs, magnetic resonance images, and Lena images. We found that the Daubechies wavelet or those wavelets with similar filtering characteristics can produce the highest compression efficiency with the smallest mean-square-error for many image patterns including general image textures as well as microcalcifications in digital mammograms. However, the Haar wavelet produces the best results on sharp edges and low-noise smooth areas. We also found that a special wavelet whose low-pass filter coefficients are 0.32252136, 0.85258927, 1.38458542, and -0.14548269) produces the best preservation outcomes in all tested microcalcification features including the peak signal-to-noise ratio, the contrast and the figure of merit in the wavelet lossy compression scheme. Having analyzed the spectrum of the wavelet filters, we can find the compression outcomes and feature preservation characteristics as a function of wavelets. This newly developed optimization approach can be generalized to other image analysis applications where a wavelet decomposition is employed.     

Wavelets and recursive filter banks

It is shown that infinite impulse response (IIR) filters lead to more general wavelets of infinite support than finite impulse response (FIR) filters. A complete constructive method that yields all orthogonal two channel filter banks, where the filters have rational transfer functions, is given, and it is shown how these can be used to generate orthonormal wavelet bases. A family of orthonormal wavelets that have a maximum number of disappearing moments is shown to be generated by the halfband Butterworth filters. When there is an odd number of zeros at π it is shown that closed forms for the filters are available without need for factorization. A still larger class of orthonormal wavelet bases having the same moment properties and containing the Daubechies and Butterworth filters as the limiting cases is presented. It is shown that it is possible to have both linear phase and orthogonality in the infinite impulse response case, and a constructive method is given. It is also shown how compactly supported bases may be orthogonalized, and bases for the spline function spaces are constructed