Singular value is a good characteristic of matrix.
奇异值是矩阵的一个良好特征。
The Singular Value Decomposition (SVD) method for the equilibrium matrix is developed and a physical explanation is given.
引入了平衡矩阵的奇异值分解（SVD）方法并解释了其力学含义。
Furthermore, each element in the singular stiffness matrix can be expressed by some more simple analytic formulas.
而且奇异单元刚度矩阵中的各元素可以用较简单的分析式表出。
This paper introduces a typical SNR estimation algorithm by the use of autocorrelation matrix singular value decomposition method.
主要介绍了一种典型的信噪比估计算法，并对信噪比的自相关矩阵奇异值分解估计法进行了研究。
The proposed method uses the maximum singular value of an cumulant matrix to distinguish between voiced parts of the speech signal and noise.
提出一种采用累积量矩阵的最大奇异值来实现语音端点检测的方法，并引入一种自适应的实现方法。
This paper presents an algorithm and a corresponding networks to deal with blind separation of sources in the case of singular mixing matrix.
混合信号盲分离问题是一类很难而又具有很强应用背景的问题，以往对这类问题的研究均在混合矩阵为非奇异的条件下进行。
A robust stability boundary of uncertain singular systems is proposed by utilizing singular value decomposition and the character of mode matrix.
并利用奇异值分解方法和模矩阵的性质，给出了使不确定广义系统鲁棒稳定的一个鲁棒界。
The new estimation about lower bounds for singular value of matrix was presented, and the error in previous results were revised.
给出了矩阵奇异值下界的新估计，修正了以往结果的失误。
The minimum singular value of the power flow Jacobin matrix can be used to evaluate the voltage stability margin.
潮流雅可比矩阵最小奇异值可用来评估系统电压稳定裕度。
Apply singular value decomposition and generalize inverse of the matrix to discuss the existence and uniqueness of the solution of the standard linear programming problem.
用矩阵的奇异值分解和广义逆讨论标准线性规划问题解的存在性和唯一性问题。
In this paper, triangular method and matrix method have been suggested inorder to determine singular position of mechanisms.
该文提出确定机构奇异位置的两种方法：三角化法和矩阵法。
Then, by Lyapunov function and linear matrix inequality(LMI), the sufficient conditions are given to make the singular networked control system exponentially stable.
利用李雅普诺夫函数方法和线性矩阵不等式方法，给出了广义网络控制系统指数稳定的充分条件。
It is also observed that all of the available sufficient conditions can be regarded as upper bounds of the structured singular value (SSV) of a related matrix.
发现现有的稳定性充分条件都可以被看作是某个矩阵的结构化奇异值(SSV)的上界。
The method of analyzing the observable degree of the state variable has been introduced by means of the singular value decomposition (SVD) of the observable matrix of a dynamic system.
介绍了基于动态系统可观测性矩阵奇异值分解的状态变量可观测度的分析方法。
By matrix operation, the invariance of image singular value vector about the reducing and enlarging transformation is proved, and this character is applied to the image matching.
通过矩阵运算，证明了奇异值特征矢量在图像做缩放变换时具有不变性，并将这种性质运用于图像匹配。
Using matrix iteration methods, the eigenvector derivatives can be iterated directly, solving the singular sensitivity equation can be avoided.
采用矩阵迭代法可以直接迭代计算特征向量导数，避免了对奇异灵敏度方程的求解。
By using the method of matrix singular values decomposition, the general expressions of the least squares solutions are given.
利用矩阵的奇异值分解和矩阵分块方法，得到了最小二乘解的一般表达式。
As applications of majorizing inequality of convex function of several variables, some majorizing inequalities of eigenvalue and singular value of matrix are obtained.
作为多元凸函数的控制不等式在矩阵方面的初步应用，获得了矩阵特征值和奇异值的简洁的控制不等式。
The sensitivity matrix was then decomposed by singular value decomposition (SVD) method, and the relationship between the surface geometric errors and the uncertainty parameters was formulated.
采用矩阵的奇异值分解原理，对曲面最佳适配的灵敏度矩阵进行分解，得到不确定度参数与测点随机误差的关系表达式。
The quaternion matrix singular value perturbation theorem is generalized and these results are also new one for complex matrix.
本文对四元数体上矩阵奇异值摄动定理给出了推广，且这些结果对复矩阵也是新的。
The complex modal analysis method is generalized to the cases in which stiffness matrix may be singular and mass matrix, damping matrix and stiffness may be nonsymmetric.
把复模态分析法推广到刚度矩阵可以奇导且质量矩阵、阻尼矩阵和刚度矩阵均不必为对称的情形。
Singular value is extracted as to feature of cylinder explosive noise signal from Cover Matrix with singular value theory.
利用奇异值理论提取包含矩阵的奇异值作为气缸爆发噪声信号的特征。
In seismic inversion, the inverse matrix is mostly huge singular, the ordinary methods cannot be directly used to solve the equation, and the SVD technique must be used.
在地震波阻抗反演中，其反演矩阵多为接近奇异的大型矩阵，不能用一般方法直接求解，而要用奇异值分解(SVD)方法解方程。
Any image can be considered as a matrix. Singular values (SV) of the matrix have some important properties adaptable to image recognition.
每一幅图像都可以认为是一个矩阵，而矩阵的奇异值具有很多适合图像识别的特征。
A least squares solution via singular value decomposition is used to solve the matrix equation.
本文使用奇异值分解法求解矩阵方程的最小二乘解。
The margin is evaluated by the minimum singular value of return deference matrix of system.
研究了一种适于工程实践的多变量稳定裕度法——基于回差矩阵奇异值的稳定裕度分析法。
Based on the original precise integration method, the problem that singular matrix appears in non-homogeneous equation was discussed.
在原有精细积分法的基础上，对非齐次方程出现奇异矩阵的问题进行探讨。
Damped least-squares method can work successfully at a relatively poor initial value, and it can overcome the recurrence difficulty caused by the singular coefficient matrix.
阻尼最小二乘法在较差的初值条件下能有效运行，并能克服系数矩阵奇异时的迭代困难。
Damped least-squares method can work successfully at a relatively poor initial value, and it can overcome the recurrence difficulty caused by the singular coefficient matrix.
阻尼最小二乘法在较差的初值条件下能有效运行，并能克服系数矩阵奇异时的迭代困难。
应用推荐