小波紧框架的构造

小波框架理论是小波分析的重要内容之一.本文对于4-带尺度函数,由V1中的l个函数ψ1,ψ2,…,ψl构造小波紧框架.首先给出这个l个函数构成小波紧框架的充分条件.由此给出由4-带尺度函数构造出一个小波紧框架的公式.最后还给出类似于小波的小波紧框架的分解与重构算法.     

基于多尺度再生核质点法的h型自适应分析

基于多尺度再生核质点法(RKPM)的多分辨分析特性，给出了适于求解二维问题的h型自适应分析方法，讨论了不同高梯度指标对检测高梯度区的影响，同时还提出了基于邻节点搜索(SNN)及局部Delaunay三角分解(LDT)技术的适于任意节点分布的无网格自适应分析节点加密技术．通过对二维线弹性平面应力及平板弯曲问题的h型自适应分析，说明了不合适的高梯度指标将对自适应分析的收敛造成不良影响，且LDT节点加密技术较SNN技术的效率更高．数值算例的结果说明自适应分析的有效性、稳定性及良好的收敛特性．     

基于幅度统计多分辨率分析的SAR图像灰度压缩

基于幅度统计多分辨率分析的原理，针对SAR图像特殊的显示要求，提出了一种新的灰度压缩方法，解决了常规灰度级压缩方法不能很好保持原始图像数据直方图分布的问题，实验结果表明该方法能有效保证灰度压缩前后图像数据直方图分布形状的一致性，较好地保持原始图像的视觉特征。     

多个尺度函数产生的多分辨率分析

本文考虑一般细分方程ψｉ（ｘ）＝Σ１≤ｊ≤ＮΣｋ∈Ｚｃｉｊ（ｋ）ψｊ（２ｘ－ｋ），解的存在性，正则性和稳定性，及｛ψｉ｝１≤ｉ≤Ｎ产生Ｌ＾ｐ多分辨率分析的条件。     

高维多重双正交小波包

本文给出对应于高维多重尺度函数的双正交多小波包的定义及其构造方法.讨论了高维不可分双正交多小波包的双正交性.     

Reproducing-kernel-based splines for the regularization of the inverse ellipsoidal gravimetric problem

To solve the inverse gravimetric problem, i.e. to reconstruct the Earth's mass density distribution by using the gravitational potential, we introduce a spline interpolation method for the ellipsoidal Earth model, where the ellipsoid has a rotational symmetry. This problem is ill-posed in the sense of Hadamard as the solution may not exist, it is not unique and it is not stable. Since the anharmonic part (orthogonal complement) of the density function produces a zero potential, we restrict our attention only to reconstruct the harmonic part of the density function by using the gravitational potential. This spline interpolation method gives the existence and uniqueness of the unknown solution. Moreover, this method represents a regularization, i.e. every spline continuously depends on the given gravitational potential. These splines are also combined with a multiresolution concept, i.e. we get closer and closer to the unknown solution by increasing the scale and adding more and more data at each step.     

An adaptive multilevel wavelet framework for scale‐selective WENO reconstruction schemes

We put forth a dynamic computing framework for scale‐selective adaptation of weighted essential nonoscillatory (WENO) schemes for the simulation of hyperbolic conservation laws exhibiting strong discontinuities. A multilevel wavelet‐based multiresolution procedure, embedded in a conservative finite volume formulation, is used for a twofold purpose. (i) a dynamic grid adaptation of the solution field for redistributing grid points optimally (in some sense) according to the underlying flow structures, and (ii) a dynamic minimization of the in built artificial dissipation of WENO schemes. Taking advantage of the structure detection properties of this multiresolution algorithm, the nonlinear weights of the conventional WENO implementation are selectively modified to ensure lower dissipation in smoother areas. This modification is implemented through a linear transition from the fifth‐order upwind stencil at the coarsest regions of the adaptive grid to a fully nonlinear fifth‐order WENO scheme at areas of high irregularity. Therefore, our computing algorithm consists of a dynamic grid adaptation strategy, a scale‐selective state reconstruction, a conservative flux calculation, and a total variation diminishing Runge‐Kutta scheme for time advancement. Results are presented for canonical examples drawn from the inviscid Burgers, shallow water, Euler, and magnetohydrodynamic equations. Our findings represent a novel direction for providing a scale‐selective dissipation process without a compromise on shock capturing behavior for conservation laws, which would be a strong contender for dynamic implicit large eddy simulation approaches.     

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.     

小波分析在层析图像重构中的应用研究

小波分析作为一种非平稳信号分析方法,具有良好的时（ 空）、频局部化特性和多分辨率特性。介绍了小波分析的基本原理和应用,引入小波分析进行图像重构,利用小波分解后得到的多分辨率的稀疏矩阵表示,设计了一迭代重构算法。通过计算机仿真试验,验证了小波分析在计算层析（ＣＴ） 成像光谱技术中能够应用于图像重构,并证实了小波分析的迭代重构算法是稳定、多分辨率和快速收敛的。