• Therefore the maximum of the radial energy during the P-wave arrive appears in the direction of the first singular vector.

    证明了资料矩阵的总能量可用奇异值的平方和来表达,以及P波到达的径向能量最大值在第一奇异向量方向出现。

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  • On the basis of the comparison of conditional nonlinear optimal perturbation and linear singular vector, the evolutions of them with time are investigated.

    在比较条件非线性最优扰动和线性奇异向量模态的基础上进一步探讨了它们随时间的演变。

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  • Based on the model of color image, color face image was recognized as a template for processing, and singular value vector was firstly applied to color face recognition.

    基于彩色图像的四元数模型,将彩色人脸图像视为一个模板直接处理,并首次将奇异值向量应用到彩色人脸识别中。

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  • In training phase, singular value vector of a lot of face image information matrix from face image sets constitutes face image sets characteristic matrix as a column.

    在训练阶段,从人脸图像集中选取大量人脸图像的信息矩阵的奇异值向量作为矩阵中的一列而构成的人脸图像集特征矩阵。

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  • The singular position of similar platform 3upu reached by algebraical method is identical to the position of general 3upu analysized by vector method.

    通过代数法得到的相似平台3upu并联机构奇异位置,与用矢量法对一般3upu并联机构所作的分析一致。

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  • In this paper we have discussed the situation of the variation of the singular closed trajectories with a parameter in plane rotating vector fields.

    本文研究在平面旋转向量埸中,奇异闭轨线随参数变动的情况。

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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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  • With the data of characteristic singular values of sub-images, the Local Singular Value Vector of the whole image are combined, and are used as the input of the classifier.

    子图像的特征奇异值组成整个图像的局部奇异值向量,作为分类器的输入。

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  • When the vector potential function and the differential of the scalar potential function are computed, singular points would occur on TPM.

    但在计算矢量位函数和标量位函数的微分过程中,TPM模型将产生奇异点。

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  • 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。

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  • The third-order cumulant is used to improve the robustness to noise, and the singular value vector is used to reduce the memory and complicatedness. The…

    该方法一方面利用三阶累积量提高了抗噪性能,同时又使用非零奇异值矢量减少了存储量与运算量。

    youdao

  • The third-order cumulant is used to improve the robustness to noise, and the singular value vector is used to reduce the memory and complicatedness. The simulated experimental …

    该方法一方面利用三阶累积量提高了抗噪性能,同时又使用非零奇异值矢量减少了存储量与运算量。

    youdao

  • The third-order cumulant is used to improve the robustness to noise, and the singular value vector is used to reduce the memory and complicatedness. The simulated experimental …

    该方法一方面利用三阶累积量提高了抗噪性能,同时又使用非零奇异值矢量减少了存储量与运算量。

    youdao

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