查询词典 wavelet

Based on the energy operator Teager of the wavelet coefficients,the energy of the decomposed magnetic memory signals was increased.Using the signal singularity detection theory of the wavelet transform,combining the observation on the multidimensional transform results and the in Russia patented technique,the selfadaptive wavelet noise suppression of the signal was realized and the characteristic gradient of the magnetic memory was extracted.

基于小波系数的"Teager"能量算子，增强了分解后的磁记忆信号能量；从小波变换的信号奇异性检测理论出发，把多尺度变换结果观测与俄罗斯专利技术相结合，能准确判断异常应力集中区，实现了信号自适应小波消噪，提取了磁记忆的特征量梯度。

In view of the coefficients of CDF9/7 wavelet filter are irrational number, we use the trigonometric function transform to factorize the perfect restruction and the biorthogonal conditions of biorthogonal wavelets filter banks, then optimize the coefficients of the original 9/7 wavelet filter banks, consequently a novel 9/7 wavelet filter banks with binary digit coefficients can be obtained.

2针对CDF9／7小波系数为无理数的缺点，对CDF9／7小波滤波器组的完全重构条件和双正交条件进行三角基函数变换和因式分解，并对求出的小波滤波器系数进行优化设计，得到一组滤波器系数都为二进制分数的9／7双正交小波滤波器组，大大降低了离散小波变换的算法复杂度。

This paper proposes s new method to construct wavelets decomposing and reconstructing matrices of wavelet coefficients without iterative calculation in symmetrical extension for finite length signal ,and correspondingly gives the base vectors and basis images of 9/7 wavelet. The matrices can be used for image-partition processing based on wavelet method.

给出了对称延拓方式下有限长信号不需逐级计算而直接得到小波系数的分解矩阵和由这些小波系数重构原信号的重构矩阵的构造方法，并给出了常用的相应于9/7小波的分解矩阵和重构矩阵及其基向量，它们可广泛用于基于小波的图像分块处理中。

in order to simplify a process of getting parameters of daubechies biorthonormal wavelet, according to the fourier cosine transform of scale equation of daubechies biorthonormal wavelet, an algorithm is proposed when the daubechies biorthonormal wavelet has even symmetry double scale parameters.

摘 要：为简化daubechies双正交小波因数的求解，以紧支集daubechies正交小波中尺度关系的fourier变换余弦形式为基础，提出1种当双尺度因数为偶对称时，推导daubechies双正交小波对偶尺度方程因数的方法，并给出构造数值实例。

Rational number wavelet filter can be constructed by reducing the order of vanishing moments of wavelet function, but the value of free variable that appears in design equations should be selected in a certain range, because the wavelet construction must meet Daubechies compact-support condition.

有理系数小波滤波器的设计可以通过降低小波函数消失矩阶数来实现，但设计方程中出现的自由变量的取值需要在一定的范围之内，因为需要满足Daubechies紧支集条件。

This paper makes a conclusion for the procedure of rational number wavelet filter design, and with the example of length-4 rational number wavelet filter, makes a discussion on the determination of free variable value range which appears in the design equation, then obtains a rational number wavelet filter that applicable for image processing algorithm realization based on vision sensor hardware.

本文归纳总结了有理系数小波滤波器的设计过程，并以长度为4的有理系数小波滤波器设计为例，对如何确定设计方程中自由变量的取值范围进行了讨论，以得到适用于视觉传感器图像处理算法硬件实现的有理系数小波滤波器。

Detection on signal singularity point is also discussed in this thesis. Lift Wavelet this text also discussed lifting wavelet usage in other fields, such as: Detection on signal singularity point, Image fusion. Experiment enunciation, Lifting wavelet to all has a good performance in these aspects.

另外本文还用提升小波实现了变换信号奇异点的检测以及基于加权融合策略的图像融合；实验表明，提升小波在图像处理的其他方面也有很好的处理效果。

Due to the sensitivity of Guass wavelet to the flex points of the signal and the multi-scale analysis of the wavelet resolution,the abruptly changing points at the interface of stratigraphic sequence shown from the logging curve can be revealed clearly by Gauss wavelet transformation of logging data .

在层序地层单元的分界面上，测井曲线表现为突变，而高斯小波对信号突变点具有敏感性和多尺度分析特性，因此测井数据的高斯小波变换能够表征这种突变。

For reducing boundary distortion area, the elevations of grid DEM are viewed as a discrete sequence under a generalized coordinate, so that the boundary problem of two-dimensional discrete wavelet transform is turned into the boundary problem of one-dimensional discrete wavelet transform, which not only greatly reduces the boundary distortion area, improves the precision of reconstructed DEM data near the boundary, but also decreases the number of zeros adding on the boundary for wavelet transform, and boosts the compression ratio. On the basis of analyzing the distribution characteristics of coefficients in low and high frequency bands, a mixed entropy coding plan is applied, and a high efficient quantizator called"self-adaptive hard threshold"is established, which is helpful for improving the precision of the reconstructed DEM data and for enhancing compression ratio.

为了减小小波变换山区格网DEM数据压缩中边界失真区域，将山区格网DEM高程值视为广义坐标下的离散随机序列，把二维离散小波变换中的边界问题转换为一维离散小波变换中的边界问题，不仅大大减少了小波变换边界失真区域，提高了重构DEM数据边界点的精度，而且减少了边界补零个数，提高了压缩比；通过对山区格网DEM数据小波变换低频区和高频区变换系数分布特点的分析，采取了霍夫曼—游程混合熵编码方案，设计了高效、低失真的"自适应硬阈值"量化器，即对低频区变换系数不进行量化，直接进行霍夫曼编码；对高频区变换系数则先用"自适应硬阈值"方法量化处理，再进行游程编码。

The main objective of this project is to research and develop a novel and high efficient video codec framework based on wavelet techniques, especially to address the heterogeneousness of video networks, the fluctuation of transmission bandwidth and the diversity of video-stream receivers. The system will have some basic characteristics of the next video coding standard, such as high compression efficiency, high scalability and high error resiliency. This project will provide a software prototype of wavelet video codec with full scalability, construct a verification platform for wavelet video on demand service, and furthermore, design some VLSI IP cores of the key module in the codec system

本项目研究的主要目的就是着眼于下一代视频编解码标准的基本特征（高效压缩，高可伸缩，高容错），以小波技术为核心构建新型高效的视频编解码系统；特别针对当前视频传输网络的异构性，网络带宽的波动性以及用户视频接收终端的多样性，实现一个码流高度可伸缩同时兼顾压缩效率的小波视频编解码软件原型，并且构建基于异构IP网络的小波视频服务的技术验证平台；进一步还将基于VLSI技术，对小波视频编解码系统的关键模块进行IP核设计

In the days of sailing vessels the crew were afraid they would be becalmed on the ocean.

在使用帆船的时代，船员们担心他们会因为无风而无法在海洋上航行。

As long as foreign donors pay the PA's salary bill, few expect a new intifada.

只要外国继续为巴权力机构的薪水买单，希望发动新暴动的人便寥寥无几。