• Singular value is a good characteristic of matrix.

    奇异值是矩阵的一个良好特征。

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  • Parallel Lanczos SVD (Singular Value Decomposition) solver.

    并行LanczosSVD(奇异值分解)计算。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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)。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • By decomposing a matrix into one diagonalizable matrix and two orthogonal matrixes, singular value decomposition has very good properties.

    奇异值分解是将一矩阵分解为一个对角矩阵和两个正交矩阵,奇异值分解有着非常好的性质。

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  • 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。

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  • 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。

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  • In addition, a method based on singular value decomposition (SVD) was proceed to deal with the obtained result for dropping influence of noise.

    为降低噪声的影响,采用一个基于奇异值分解(SVD)的方法对识别的结构进行处理。

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  • 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。

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  • Meanwhile to reduce the cost of memory space, this paper takes the Semi-Discrete Decomposition Method rather than the Singular Value Decomposition.

    同时为了进一步降低存局部潜在语义分类的存储空间的开销,采用半离散分解方法替代奇异值分解方法。

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  • 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;

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  • Classical feature extraction methods include: Principle Component Analysis, Singular Value Decomposition, Projection Pursuit, Self-Organizing Map, and so on.

    传统的特征提取方法主要有:主分量分析、奇异值分解、投影追踪、自组织映射等。

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  • 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。

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  • 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。

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  • 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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  • We do orthogonal wavelet transform of a face image, get its four sub images of different frequency bands, then respectively extract their singular value features.

    对人脸图象作正交小波变换,得到它在不同频带上的四个子图象,然后分别提取奇异值特征。

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  • Structured singular value synthesis is used to design an robust controller for the linearized fast inversion loop, which provides robust tracking to pilot commands.

    从而围绕线性的快逆回路应用结构奇异值综合方法设计相应的鲁棒控制器,以提供对驾驶员指令的鲁棒跟踪。

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  • Pass to incorporate organically the flight test data and the system model, make use of the structured singular value theories proceed the flutter boundary estimate.

    一种新的颤振分析方法——鲁棒颤振裕度法被介绍,它利用结构奇异值理论将系统模型和试飞数据有机结合起来进行颤振边界预测。

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