多元多重正交小波包及其性质

给出对应于多元多重正交尺度函数的多重小波包的定义及其构造方法,讨论了多元多重不可分正交小波包的性质。     

一类三元多重向量值双正交小波包的研究

引进多重向量值多分辨分析,给出了三元多重向量值双正交小波包的定义及其构造方法.运用矩阵理论和算子理论,讨论了这种三元多重向量值双正交小波包的性质.     

多重正交尺度函数与三角正交矩阵

多重小波是近年来新兴的小波研究方向，它具有许多一维小波所不具备的优越性质。本引入三角正交矩阵与双尺度正交变换两个概念，并给出一些结论。     

m尺度双正交双向小波的分解重构算法

引入双正交双向加细函数及m尺度双正交双向小波.研究m尺度双正交双向小波的分解与重构算法,得到了双正交双向小波的分解重构公式,讨论了信号完全重构的条件.算法对能量有限信号的分解与重构有一定的实用价值.     

一种双正交小波滤波器构造方法研究

双正交小波基由于可以同时具备消失矩、紧支性、对称性,在信号处理领域得到了广泛的应用.基于此,提出了一种构造双正交小波滤波器方法,此方法不但能构造双正交小波滤波器,而且改变参数可以控制此滤波器.     

离散超小波变换下矩阵的谱分析

本文在离散超小波变换的基础上研究最优双正交小波。用特征值接近1来描述“正交程度”。当且仅当MinMaxλi（ω）↓ω 1≤i≤2n越接近于1时，正交程度越高。通过对离散超小波变换下双正交小波谱分析来解决最优双正交小波对正交变换的接近问题，同时也得到了双正交小波谱有界这一类相关问题。     

有限区间上的双正交小波的构造

图象处理中,提取图象的边缘特征不仅与选用的小波有关,而且与使用的算法也有关。文章详细介绍了有限区间上的双正交小波的构造,以样条函数构造的双正交小波为例来讨论,求出了L^2[0,1]上的RAesz双正交基。     

多重平衡规则及其应用

本文介绍多重平衡规则的推导,并应用多重平衡规则解决多元弱酸的电离平衡,盐类水解,沉淀的转化及沉淀的溶解等多重平衡问题。     

求多重多元复合函数偏导数的一般公式

复合函数微分法是多元函数微分学研究的重要内容,求复合函数偏导数是利用链式法则计算的．本文通过对树型法则的讨论,研究多重多元复合函数偏导数的一般公式,由此得到求多重多元复合函数偏导数一般解的方法．     

双向正交共轭滤波器的构造

从正交共轭滤波器的理论出发,讨论了双向正交共轭滤波器的构造。应用多重正交小波系统及双向多分辨分析理论,以双向正交共轭滤波器为基础,分析了相关的构造问题及相应的满足条件,并给出了一个构造算例。     

Distributed media cooperation for enhanced video communication

INTRODUCTION According to yearly statistics the demand for multimedia traffic over computer networks is con- stantly on the increase (Nielsen//NetRatings, http:// www.nielsen-netratings.com/). Therefore, it is inevi- table that situations where different media streams will need to share communication resources will be- come commonplace. In such cases, it would be of interest to optimize the overall performance of the network. In other words, resources should be allo- cated across the com…     

A Random Multi-Access Method for Data Services in CDMA Cellular System

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支撑区间在[-1，1]上的a尺度双正交多小波

给出了支撑区间在[-1，1]上的a尺度双正交尺度向量所对应的支撑区间在[-1，1]上的a尺度双正交多小波存在的充要条件，并且给出了其存在时的一种有效的构造方法．     

初探语用推理结论多元性的归因——前提的多元性之一

语用推理的主要逻辑特征是结论的多元性：佳解、偏解、无解、误解。而结论的多元性受到特定语境中的前提多元性和推理形式多元性的制约。语境是语用推理的核心。其中,受者的语感、对言者的了解和对场景的把握制约前提的读取,使前提呈现出多元性。前提的多元性是导致语用推理结论多元性的重要原因。     

9-7小波的一种新的有效算法

以构造双正交小波的Cohen-Daubechies-Feauveau定理为基础，利用提升方法构造了一组对称双正交9．7小波滤波器．它与JPEG2000中采用的CDF9-7小波压缩性能几乎相同，并且它们两者在图像压缩中可以互相作正变换与逆变换．新9-7小波的计算只需要2个浮点运算和16个整数运算，而CDF97小波需要14个浮点运算，因而它能极大简化和减少图像压缩和视频压缩的运算量．     

多个函数多介值的微分中值定理及其应用

基于Rolle定理、Lagrange中值定理和Cauchy中值定理,从多个函数的角度出发,对微分中值定理进行推广,给出了关于三个函数的微分中值定理,得到了多个函数多介值的微分中值定理的新形式,拓展了微分中值定理的应用范围。     

基于调制重叠双正交变换的扩频通信非正交型窄带干扰抑制

Traditional lapped transform domain excision techniques obtain good performance at the expense of increased processing delay. Extension of transform domain filtering techniques to the lapped biorthogonal transform domain can help solve the problem. By incorporating biorthogonality into the lapped transforms, more flexibility is obtained in the design of windows. Thus transform bases with better stopband attenuation can be generated by designing windows, but not by increasing the overlapping factor. In this paper, a new modulated lapped biorthogonal transform (MLBT) with optimized windows is introduced for efficient compression of multi-tone interfering signal energy. The bit error rate (BER) performance of the receiver employing the proposed MLBT excision technique is analyzed and compared with that of the lapped transform domain excision-based receivers. Simulation results demonstrate the improved performance and increased robustness of the proposed technique.     

Statistical Power in Evaluations That Investigate Effects on Multiple Outcomes: A Guide for Researchers

Researchers are often interested in testing the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time, or across multiple treatment groups. The resulting multiplicity of statistical hypothesis tests can lead to spurious findings of effects. Multiple testing procedures (MTPs) are statistical procedures that counteract this problem by adjusting p values for effect estimates upward. Although MTPs are increasingly used in impact evaluations in education and other areas, an important consequence of their use is a change in statistical power that can be substantial. Unfortunately, researchers frequently ignore the power implications of MTPs when designing studies. Consequently, in some cases, sample sizes may be too small, and studies may be underpowered to detect effects as small as a desired size. In other cases, sample sizes may be larger than needed, or studies may be powered to detect smaller effects than anticipated. This paper presents methods for estimating statistical power for multiple definitions of statistical power and presents empirical findings on how power is affected by the use of MTPs.