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运用K-L变换对已提取的特征向量进行降维。Extracted eigenvector is compressed by K-L transform.
并抽取主要颜色特征作为特征向量存储在图像数据库中。Then main color feature is extracted as eigenvector in image database.
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利用此函数可提取到更具有代表性的邮件特征向量。Using this function, we can get more representational eigenvector from email.
第一模态揭示的是全年平均的WI空间分布的基态。The first eigenvector reveals the basic spatial distribution of the annually averaged WI.
在附录中还列出特征值与特征矢量的一般求法,以资与正文所述相对照。In the appendix, the general method of finding eigenvalue and eigenvector is stated for reference.
给出了非奇异矩阵A的伴随的广义特征向量的表达式。An expression of the generalized eigenvector of adjoint matrices for nonsingular matrix A is derived.
从相关性角度提出了互反判断矩阵排序的特征向量方法。New eigenvector method for priority of reciprocal judgment matrix based on correlativity is proposed.
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矩阵迭代法是求矩阵的第一阶特征值与特征向量的一种数值方法。Matrix iteration method can be employed to figure out the first eigenvalue and eigenvector of a matrix.
构造了系统增广特征矢量,实现了其系统动力响应的精确分析。Accurate analysis of system dynamical response is achieved by constructing a system augmented eigenvector.
用初等几何方法给出线性函数在无穷远点的保角性证明。The use of elementary geometry method can give conformal demonstration of lineal function in infinite eigenvector.
线性转换及线性运算子,特征值扩展,以矩阵表示线性运算子。Linear transformations and linear operators, eigenvector expansion, matrices as representations of linear operators.
最后根据状态矩阵的左右特征向量系的正交性,对给出的状态矩阵进行对角化。State matrix is diagonalized according to the orthonormality of left and right eigenvector series about the state matrix.
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提出一种结合主观偏好信息与客观信息的综合特征向量方法。An integrated eigenvector method is proposed to combine the subjective preference information with the objective information.
基于KLT与滑动DCT的相似关系,提出了一种新的特征向量自适应递推估计算法。A new adaptive recursive algorithm for eigenvector estimation based on the relations between KLT and sliding DCT was presented.
其次,针对模型得到了一个本征值对应一个本征元的结论,并证明了除O本征值外还存在另外非零实本征值。Besides, we get the conclusion an eigenvalue corresponds to an eigenvector and the existence of nonzero eigenvalue besides zero.
在对图像进行特征提取前,首先对图像进行划分,然后再对子图像使用PCA方法提取特征向量。In this method, The image is divided into several modules firstly, then these sub-images' eigenvector is extracted by using PCA.
由于分类的依据是气泡表面积的大小,确定了圆面积和圆形度两个最能表征类圆形表面积的分量组成分类特征向量。Area and circularity act as two elements of the eigenvector for they can remarkably characterize the surface area of the bubbles.
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由于在原有基础上增加了其特征向量的维数,因而具有更好的鲁棒性。Furthermore, the improved algorithm has better robustness due to increasing of eigenvector dimensions on the basis of original one.
该方法给出了该类观测器的增益矩阵和左特征向量矩阵的参数化表达式。This method presents the parametric expressions for the gain matrices and the left eigenvector matrix of the high-order PI observers.
应用特征向量的原理和方程具有无穷解时具有的特性产生水印,并采用相关值计算方法对水印进行检测。The watermark is constructed on the basis of the theorem of eigenvector and the property of an equation which has innumerable solutions.