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projection matrix相关的网络例句

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与 projection matrix 相关的网络例句 [注:此内容来源于网络,仅供参考]

Five ways on comparing covariance matrix are applied to the Shanghai 50 Indexes Stock Exchange, which are sample covariance matrix, scalar matrix, two-parameter covariance matrix, single index matrix, constant correlation matrix. We adopt principal components method and Markowitz portfolio method to measure stock market risk using VaR, getting the effect of measuring market risk. The result shows that sample covariance matrix and two-parameter covariance matrix could measure market risk more effectively.

本文以上证50指数数据为样本,采用样本协方差矩阵、数量矩阵、两参数模型矩阵、单指数模型矩阵、常量相关矩阵作为与股票相关的协方差矩阵,结合投资策略选择的主成分方法和Markowitz最优投资组合方法,计算VaR以度量市场风险,并比较了五种协方差矩阵度量市场风险的效果,结果表明,在主成分方法中,样本协方差矩阵和两参数矩阵方法能有效的度量市场风险。

On the basis of the definition of matrix traces , this paper discusses their characteristics at first and then according to the norm of the F of square matrix and Cauchy-Schwarz inequality gives how to prove the zero matrix, unsimilar matrix, number cloth matrix, column matrix idempotent matrix and non-equality matrix.

根据矩阵迹的定义,首先给出了矩阵迹的性质,然后依据方阵的F—范数定义Cauchy—Schwarz不等式,给出了零矩阵,不相似矩阵,数幂矩阵,列矩阵,幂等矩阵及矩阵不等式的证法。

The first section is descriptive geometry, including basic knowledge of cartography and projection, projections of point, beeline, plane and their interrelations, projection transformation, curve, curving plane, the projection of curving plane solids, line of section, line of intersection, section and segmentation, elevation projection, dimetric projection.

第一部分为画法几何:其中有制图基本知识,投影的基本知识,点、直线、平面的投影及它们之间的关系,投影变换,曲线、曲面及曲面立体的投影,截交线与相贯线,剖面图与断面图,标高投影,轴测投影等。

This paper studies and analyses the map projection transformation, using VC ++ programming language to realize three projection transformation: inclined position projection, Mercator projection and Gaussian M- Ke Lvge projection, and makes the application tests.

本文对地图投影变换做了尝试性的分析研究,利用VC++编程语言实现了斜轴等积方位投影、墨卡托投影和高斯-克吕格投影三种投影变换,并做了应用测试。

It respectively constructs quasi projection-separation facet sets of two convex polytopes while their orthogonal projection on the centerline overlap mutually. Afterward it judges the separation of two convex polytopes by confirming non-overlap in orthographic projection on the centerline or by finding out a projection-separation facet from two quasi projection-separation facet sets, otherwise a collision is judged.

该算法通过判断2个凸多面体在中心线上的正投影不相交,或者分别构造它们的准投影分离面集合,并从这2个集合中找到一个投影分离面,来判断2个凸多面体分离;否则,判断为相交。

First, an initial projection matrix is obtained through homography between an image and a scene plane. The homograph matrix between two images, i. e., the image plane and the scene plane, can then be calculated from matching points of these two images. Thus the projection matrix of every next frame can be calculated from homograph matrix between the current image plane and the previous one. Registration of virtual objects is finally completed.

根据这个原理,首先通过一个景物平面和图像之间的单应得到初始状态相机的投影矩阵,然后对后面每帧图像和前一帧进行自然特徵点匹配,通过匹配点对计算出图像之间以及图像与景物平面的单应关系,由此就可以得到每一帧图像对应的相机的投影矩阵,从而完成虚拟物体的注册。

First we construct a covariance matrix from sample images, then compute the eigenvalues and corresponding eigenvectors of the covariance matrix, construct a feature matrix with the eigenvectors. Then every images in database can be projected into the feature matrix and gain a projection vector, so does the input image. Then we can judge the resemblance between input image with each image in database by computing the distance between their projection vectors.

我们首先根据采集的样本图像构造一个协方差矩阵,然后求取该矩阵的特征值,以这些矩阵特征值对应的特征向量构造出一个特征空间,然后将输入图像向该特征空间映射,将获取的映射系数与样本库中图像的映射系数进行距离计算,根据计算出的距离判定输入图像与样本图像间的匹配程度。

Computing inverse matrix, a unit entrainment in the matrix behind the matrix, and then in front of it is processed into a matrix, diagonal matrix, the latter matrix that is the inverse matrix.

详细说明:计算逆矩阵,在矩阵后面夹带一个单位矩阵,然后把前面那一个矩阵处理成对角线单位矩阵,后面的那个矩阵就是逆矩阵。

This paper established a new kind of relation on projection——conic projection analogue by introducing the latitude circle and longitude circle analogues, then discussed the best choice of the conic vertex angle in this projection, and found the mathematical model and the applicable scope of this projection.

摘 要:本文通过引入类纬圈和类经圈,建立了一种新的投影关系——类圆锥投影,进而探讨了类圆锥投影中圆锥顶角的最佳选择,找到了类圆锥投影的数学模型和适用范围。

According to their processes of construction, the projection methods are classified into three types in the present paper, namely, the Helmholtz-Hodge decomposition projection methods, the operator splitting projection methods and the local continuous projection methods.

本文根据投影方法的构造思路,将众多的投影方法分成了3类,即: Helmholtz-Hodge分解类投影方法、算子分裂类投影方法和局部连续投影方法,并详细的介绍了3类投影方法的发展历程和求解步骤。

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