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方差矩阵

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Furthermore,the characters of fitted model using matrix of covariance and correlation coefficient were also discussed in this paper

同时,本文还讨论了用协方差矩阵和相关系数矩阵配合模型的特点。

This paper introduces the fast calculation for the converse matrix of covariance matrix.

介绍了求协方差矩阵的逆矩阵的快速算法。

Error analysis of direct georefencing is divided into two parts: for attitude angle error, formula is determined by the error of the direction cosine matrix, for other errors, formula is determined by covariance matrix.

为了分析各误差因素对定位精度的影响,分两步建立各误差因素和定位精度的表达式,对于姿态角误差的影响,为避免欧拉角之间的耦合,按照方向余弦矩阵误差定义求取,对于其余误差的影响,采用协方差矩阵求取。

At last, the Double Message Signal is proposed and the non-interfere condition is presented that the steering vectors are orthogonal in the weighted inner product space, with the inverse matrix of background covariance as the weighting matrix. The optimal polarization states are designed, according to the EM background.

最后,提出了一种双信息信号传输的方案并导出了无互扰传输的充要条件:两期望信号的信号矢量在以干扰噪声协方差矩阵的逆矩阵为加权矩阵的加权内积空间中正交,在给定的电磁环境下设计了双信息信号的极化状态。

Moreover, it processes only a single snapshot data with no use for the formation of the sample covariance matrix and matrix inversion operation.

同时,它只对单快拍数据进行处理,避免了样本协方差矩阵的构造以及矩阵求逆运算,更适合于实时处理。

In chapter 4, the case of risk asset allocation with allowed sell and restricted short sell is discussed, especially in case of restricted short sell, the efficient frontier piecewise partition is determined by using duality theory in parametric quadratic programming. And the concept of tripartition is introduced, economic meaning stated and algorithm to determine efficient frontier proposed.

特别对限制卖空的证券组合,应用参数二次规划对偶性理论解决了有效边缘曲线分片划分的问题,并引入了三元分割的概念,解释其经济意义,同时给出确定有效边缘的算法;对于协方差矩阵是奇异的情况,利用矩阵分块技术,得到不同情形下有效边缘的解析表达式,并用直观的几何图形描述,克服了M-V模型在实证分析中遇到的困难。

The algorithm processes very few snapshot data opposed to forming sample covariance matrix and computing matrix inversion.

它无需构造协方差矩阵及进行矩阵求逆,又避免了复杂度较高的广义特征值分解。

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。

A new approach-two dimensional principal component analysis(2DPCA) is developed for face recognition. 2DPCA approach dont need to transform the image matrix into feature vector. It directly uses the image matrix to construct the sample covariance matrix.

5研究了二维主成分分析(2DPCA)方法,2DPCA方法不需要先将图像矩阵展开成一维向量,而是直接利用图像矩阵来构建样本协方差矩阵,所以2DPCA比PCA的识别时间更短,识别更高。

Based on Current Statistical Model for target tracking, a modified maneuvering target model and adaptive filtering algorithm is presented by acceleration and the relation between maneuve trix of process noise.

在&当前&统计模型的基础上,通过修正目标加速度的概率分布、机动加速度与方差的自适应关系及过程噪声协方差矩阵,提出了一种修正的机动目标模型及其自适应跟踪算法。

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However, as the name(read-only memory)implies, CD disks cannot be written onorchanged in any way.

然而,正如其名字所指出的那样,CD盘不能写,也不能用任何方式改变其内容。

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A single payment file can be uploaded from an ERP system to effect all pan-China RMB payments and overseas payments in all currencies.

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