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奇异变换

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Then the boundary element integral equation of interior and exterior form is deduced in detail, also the form with corner coefficient. The significance for numerical calculation and principle of the singular integral is analyzed, and a non-isoparametric transformation method is presented to calculate weak singular integral and Cauchy integral, the method presented provides us a very simple way to computer the two kinds of singular integral of Helmholtz boundary integral equation, and it is easy to program in computer. After the difficulty of the calculation for multi-frequency of Helmholtz boundary element is explained, a method named SECHIEF (Series Expansion Combined Helmholtz Integral Equation Formulation), which is focused on the computational efficiency, is presented.

对结构声辐射的边界积分方程的内部形式与外部形式进行了详细的推导,给出了角点系数的计算方法与边界积分方程的形式,在此基础上,分析了奇异积分产生的原理及其对数值计算的重要性,提出了一种计算奇异积分的非等参(来源:Ae8a8BC论文网www.abclunwen.com)单元的变换方法,该方法给Helmholtz 声学边界积分方程中的弱奇异积分与Cauchy 奇异积分的计算以及编程提供了极大便利。

Second, analyzing principle of the singular value decomposition and the principle of wavelet transform deeply at all levels, as well as the impact to image processing and singular value decomposition wavelet analyzing, focus on single watermarking and double watermarking algorithm based on the discrete wavelet transform.

其次,深入分析了奇异值分解的原理和小波变换的原理以及图像处理对各级小波分解和奇异值分析的影响等,重点研究了基于离散小波变换的单水印和双水印算法。

By integral transformation of basic equations, the stress and displacement expressions with unknown coefficients of elastic and viscoelastic materials were obtained in Laplace domain respectively, and introducing dislocation density functions, the singular integral equations were got according to the boundary conditions and interface connection conditions, further adopting Gauss integration and Gauss-Jacobi integration formula, the problem was reduced to algebraic equations, then it can be solved with the method of collocation dots in Laplace domain. Finally, the time response of dynamic stress intensity factor was calculated with the inverse Laplace integral transformation.

采用积分变换方法,得到Laplace域内弹性和粘弹性材料的应力和位移的含未知系数的表达式;引入位错密度函数,并通过边界条件和界面连接条件,导出反映裂纹尖端奇异性的奇异积分方程组,采用Gauss积分,并运用Gauss-Jacobi求积公式化奇异积分方程组为代数方程组,利用配点法进行求解;最后经过Laplace逆变换,求得动态应力强度因子的时间响应。

Uncertain singular systems are transformed into the form of restricted equivalence by a nonsingular linear transformation. By the method of Lyapunov function, a new terminal sliding mode control strategy based on the form of restricted equivalence is proposed for the first time, and the hypersurface of a special terminal sliding mode is given. A terminal sliding mode controller is designed correspondingly such that the motion of sliding mode can be guaranteed and the systems state variables can converge to the equilibrium point in a finite time.

通过非奇异线性变换把不确定奇异系统变换成受限等价形式,利用Lyapunov函数方法,首次提出了一种新的Terminal滑模控制策略,给出了特殊的Terminal滑模超曲面,设计了相应的滑模控制器,实现了滑模运动,保证了系统状态变量在有限时间内收敛到平衡点。

Based on a localization principle and subband decomposition, monoscale ridgelet and curvelet were proposed, both of which were derived from ridgelet transform and can efficiently deal with smooth images with smooth edges including straight and curve singularity. They, hence, are of better application potention. sparse representation;optimal basis;ridgelet;curvelet;image denoising;non-parametric estimation

单尺度脊波和Curvelet变换由脊波变换发展而来,分别利用了函数局部化和频带剖分的思想,将脊波理论发展到了一个更高的阶段,这两种变换都能"近似最优"的表示直线和曲线奇异,因而具有更好的应用前景。

There are three main methods in face localization: localization according to face outline, localization according to complexion and localization according to templates constructed by some standard sample images. As to feature extraction, it can be divided into two parts because face features can be divided into geometrical features and algebraic features. While extracting geometrical features, the features of eyes, nose, mouth, eyebrows can be gained by some image processes: binary, sharpen, smooth, projection, calculating gradient and so on. In order to extract algebraic features, we can do some mathematical transformation for the digital images such as singular value decomposition, K-L transformation.

在人脸检测部分,目前存在的方法有利用人脸的几何轮廓进行检测、利用人脸的肤色信息进行检测、构造标准人脸模板进行匹配检测等等;在人脸特征提取部分,可以用一些图像处理的方法如投影、二值化、求梯度图像等提取人脸中各特征器官如眼睛、鼻子、嘴巴等的几何特征,另外也可以借助于数学变换,求取人脸图像的一些代数特征,如对图像进行奇异值分解,以奇异值代表图象的特征,或对图像进行K-L变换,以图像在构造的特征空间上的投影系数作为图像的特征等;在识别部分,可以通过距离度量或相似度来判断输入图像与样本图像的匹配程度,还可以通过神经网络方法进行人脸的识别。

This paper analysised and researched some existing algebra feature extraction method such as KL transformation, singular value decomposition、 Fisher linear discriminant and optimal discriminant transformation. On the base of this、we expound a method which named uncorrelated optimal discriminant transformation to accomplish the face recognition.Uncorrelated optimal discriminant transformation is a improvement of Fisher linear discriminant and optimal discriminant transformation.

本文对一些现有的代数特征提取方法如KL变换、奇异值分解、Fisher线性鉴别以及最佳鉴别变换做了分析和研究,在此基础上我们提出使用具有统计不相关最佳鉴别变换的投影方法来进行人脸识别,它是由Fisher线性鉴别和最佳鉴别变换改进、完善而来的。

The singular values of the project can be used as the character vector. The singular values of the scaling invariant can be obtained by the statistical characteristics of Radon transform. Since the singular values of the matrix are uncorrelated with the position of the column or the row of the matrix. In this way, the character vector of singular values with shift, scaling and rotational invariant is arrived at by this algorithm.

针对各颜色分量,利用Radon变换的奇异值的统计特性提取了具有尺度不变性的奇异值,由于矩阵的奇异值分解具有旋转不变性,因此该奇异值为平移、尺度和旋转不变的特征向量。

According to the theory of wavelet transformation, the singularities of the ECG signal are corresponding to the series of maximum-minimum pairs. The algorithm detects the onsets of Q wave at the scale 3 detail and offsets of T wave at the scale 4 detail. So the duration of QT is calculated by onset of Q wave and offset of T wave.

根据小波变换的原理,心电中的奇异点在变换后将产生一个模极大值和模极小值对,在小波变换3尺度上检测出QRS波群的起点,在小波变换4尺度上检测出T波终点,从而确定QT间期。

This paper presents an alternative way to transform the double integral in elasticity problem on 3-d into the linear integrals on the boundary of each subdomain, so that all the singular integrals and nonsingular integrals are calculated by analytical method.

采用积分区域变换和高斯定理,将三维弹性问题的二维积分化为一维积分,使奇异积分和非奇异积分能使用精确积分的方法计算,为边界元奇异积分的计算和处理提供了新的思路。

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