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Firstly, the principal components of the variance matrix are adopted to compute the scale and orientation of tracking target, then the similarity measure and Kalman filter are used to update the tracking window.

首先,采用跟踪窗口内协方差矩阵主分量分析法来计算跟踪目标的方向和尺寸大小;然后,联合相似性度量和卡尔曼滤波器来更新跟踪窗口的大小和方向倾角,使之适应目标的变化。

The effects of iteration steps and the variance with the prior probability on the quality of image reconstruction are investigated.

迭代步数和先验概率的协方差取值对图像重建结果有较大影响。

The strong coherence between target sources leads to rank loss of covariance matrix of receiving data may, and hence cause incomplete target report.

目标源之间的强相干性,引起接收数据的协方差矩阵的秩亏损,从而可能导致目标漏报。

The paper presents a method based on an innovation to accelerate the rate of convergence and proposes a new form...

本文提出了一种基于新息加速收敛速度的方法江并提出了一个新的公式来估计测量噪声协方差阵。

We choose an optimal model for functional mapping via comparing various combinations of submodels for mean vectors of QTL genotypes and residual covariance matrix according to statistical power of detecting QTL.

根据QTL的统计检测效率,通过比较关于QTL基因型的期望均值向量和剩余误差的协方差矩阵的子模型的不同组合,来筛选优化的功能定位模型。

Modeling time-dependent expected mean vectors of QTL genotypes and the structure of the within-subject residual covariance matrix are the essence for functional mapping QTL of dynamic traits.

拟合与时间相关的QTL基因型的期望均值向量和剩余误差的协方差矩阵是动态性状功能定位的核心内容。

The error is described by weighted average variance-covariance of root mean square error in curve normal direction, and error in the direction with maximum error respectively.

曲线上任意点的误差由端点及距离误差传播导出的误差之加权平均值的协方差表示。

This method exploits eigenstructure of thd received signal's sample correlation matrix in which the observation space can be partitioned into a signal subspace and a noise subspace.

该方法利用了接收信号协方差矩阵的特征结构,把观测子空间分解成为信号子空间和噪声子空间。

The algorithm reduces the dimension of the input vectors by using the Toeplitz technique for the sample correlation matrix and needs only the first column of the processed matrix.

该算法仅将Toeplitz化后的采样协方差矩阵的第一列元素作为网络输入,从而降低了输入矢量的维数。

Nevertheless, in many practical applications such as in low sample support or when the signal statistics are rapidly time-varying, we may not have enough sample to form the sample covariance matrix.

然而,常规的子空间估计方法由于涉及到阵列协方差矩阵的估计及其特征值分解,从而需要较高的计算复杂度。

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