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covariance matrix相关的网络例句

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

It is proved that the least squareestimators of linear estimable functions of regression coefficients areadmissible under matrix loss and minimax. The necessary and sufficientexistence conditions are derived for the uniformly minimum riskequivariant estimators of linear estimable functions ofregression coefficients under an affine group and a transitive group oftransformations respectively. It is also proved that there are no UMREestimators ofthe covariance matrix and variance under an affine groupof transformations and quadratic loss functions.

本文证明了回归系数的线性可估函数的最小二乘估计是极小极大的且在矩阵损失函数下是可容许的;还分别在仿射变换群和平移群下导出了存在回归系数的线性可估函数的一致最小风险同变估计的充要条件,并证明了在仿射变换和二次损失下不存在协方差阵和方差的 UMRE 估计。

Variance component model of the random effects of covariance matrix unit for the "Linear model introduction" matrix has been studied.

方差分量模型的随机效应的协方差为单位阵时《线性模型引论》已进行研究。

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。

The key technique in the MUSIC algorithm is the signal subspace extraction which can be found from the eigen decomposition of the sample covariance matrix of the antenna receive signal. The eigen value decomposition of a Hermitian matrix is implemented by using the QR algorithm, and the signal subspace is constituted by collecting the significant eigen vectors.

在复合信号分类演算法中的重要关键为信号子空间与杂讯子空间的分解,这两个子空间可以利用对天线收到信号的取样共变异矩阵做特徵值分解中求出,本篇并以QR演算法实现厄米特矩阵之特徵值分解,信号子空间便是由分解后的特徵向量所集合而成。

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。

Analyzing the inner configuration of the covariance matrix, a new multiple targets DOA tracking algorithm is presented based on a matrix norm minimization technique.

摘要该文分析了协方差矩阵的内部结构,得到了一种具有较低运算量的基于范数最小准则的多目标DOA跟踪算法。

In Chapter 1, we introduce some theories and methods about the estimation of regression coefficient and do some preparations including some theories in the mean vector, the covariance matrix, the quadratic form of random vector, matrix derivative.

第1章概括介绍线性回归模型回归系数估计的一些理论和方法,并给出均值向量与协方差阵、随机向量的二次型、矩阵微商等预备知识。

Since the size of image covariance matrices is same as that of images and the within-class image covariance matrix is usual nonsingular, thus, the difficulty resulting from high dimensionality and singular case are artfully avoided.

该文提出了一种基于复向量进行特征表不的并行融合新策略,建立了复线性投影分析的理论,给出了复特征空间内进行线性特征抽取方法,事实上,经典的线性投影分析理论与方法只是本文理论与方法的一个特例。

For these important and practical problems,sample covariance matrix is an important statistic because many important statistics are functionals of it.When we make statistical inferences,such as estimations and/or hypothesis tests,the sample covariance matrices must be investigated.

以上诸多方面在做估计和假设检验过程中,无不用到大维随机矩阵的处理,尤其是大维样本协方差矩阵的相关性质,因为多元分析中许多重要的统计量都可以表示成样本协方差矩阵的函数。

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