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。
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。
Then, a method is presented based on the singular value decomposition to compute the minimal norm solution.
然后用奇异值分解给出了求解最小范数解的一种方法。
The problem of image matching and target tracking based on singular value decomposition (SVD) was discussed.
研究了基于奇异值分解的图像匹配和目标跟踪问题。
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。
Using the singular value decomposition technique, the method for measuring the modal controllability is determined.
利用奇异值分解技术确定了定量度量模态可控程度的方法。
A face identification method based on singular value decomposition (SVD) and data fusion is proposed in this paper.
提出了一种基于奇异值分解和数据融合的脸像鉴别方法。
The singular value decomposition least squares(SVDLS)method was improved for the various dynamic spectrum analysis.
本文改进了处理动态光谱的奇异值分解最小二乘法（SVDLS）。
In this paper, a method of face recognition based on symmetry average of local singular value features is presented.
提出了一种基于局部奇异值对称平均的人脸识别方法。
As an index of static voltage stability the minimum singular value is widely used in power system stability analysis.
最小奇异值作为静态电压稳定指标已广泛应用于电力系统的稳定分析之中。
The GGE data is then subjected to singular value decomposition and is approximated by the first two principal components.
对GGE 作单值分解，并以第一和第二主成分近似之。
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。
An algorithm based on singular value decomposition (SVD) is proposed, which hides secret information in singular value vector.
给出了一种基于矩阵奇异值分解(SVD)和奇异值量化的信息隐藏算法。
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。
An improved SVD method was introduced by combining empirical orthogonal function (EOF) with singular value decomposition (SVD).
将奇异值分解同自然正交分解相结合，提出一种改进的正交奇异值分解方法。
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。
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。
A face recognition method based on the fusion of principal component analysis (PCA) and singular value decomposition (SVD) is presented.
提出了奇异值分解(SVD)和主分量分析(PCA)相结合的人脸识别算法。
By means of the damp least square method and singular value decomposition method, the misalignment of optical system could be calculated.
采用阻尼最小二乘法与奇异值分解的方法来求解失调量。
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。
A general difficulty of using singular value decomposition (SVD) to split signal and noise subspaces is in the right choice of effective rank.
用奇异值分解界定信号和噪声子空间的困难之处，在于有效秩的确定。
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。
In order to solve these problems, a rank-truncated multi-station TDOA localization algorithm based on singular value decomposition was presented.
为了解决这些问题，提出了一种基于奇异值分解的秩截短多站时差定位算法。
The relation between the voltage margin index expressed by minimum singular value and the voltage margin expressed by physical quantity is dis-cussed.
讨论了最小奇异值表示的电压稳定裕度指标和物理量表示的电压稳定裕度指标间的关系；
A novel fragile watermarking based on image singular value was proposed to overcome the security problems of fragile watermarking with precise localization.
针对精确定位型脆弱水印算法的安全性问题，提出一种基于图像奇异值的脆弱水印方案。
The algebraic feature extraction of images and the authors' research work on singular value vectors as a kind of algebraic features of images are emphasized.
重点介绍了图像的代数特征抽取以及作者关于奇异值特征矢量作为图像的一种代数特征方面的研究工作。
Digital image is transformed into singular value matrix that contains non-zero singular values by singular value decomposition (SVD), the image is compressed.
通过对图像进行奇异值分解，将一幅图像转换成只包含几个非零值的奇异值矩阵，实现图像压缩。
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。
It incorporates organically the flight test data and the flutter theory model by the structured singular value theories, to process the flutter boundary estimate.
利用结构奇异值理论将颤振理论模型和试飞数据有机结合起来，进行了颤振边界预测。
It incorporates organically the flight test data and the flutter theory model by the structured singular value theories, to process the flutter boundary estimate.
利用结构奇异值理论将颤振理论模型和试飞数据有机结合起来，进行了颤振边界预测。
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