查询词典 lag covariance

Through the retroversion observing and research of 305 chronic obstructive pulmonary disease inpatients and the covariance analysis, the result indicates: Clinical familiar case types were deficiency of both the spleen and lung , deficiency of both the lung and kidney, and deficiency of all the three.

我们通过对305例慢性阻塞性肺疾病住院病人的分型、临床症状、体征及理化检查指标的观察，认为慢性阻塞性肺系病证以本虚为主要表现，急性发作期挟实，以本虚标实为主。

Through the retroversion observing and research of 305 Pulmonary Systerm disease inpatients and the covariance analysis, the result indicates: Clinical familiar case types were Deficiency of both the spleen and lung , Deficiency of both the lung and kidney, and Deficiency of all the three.

我们通过对305例肺系疾病住院病人的分型、临床症状、体征及理化检查指标的观察，认为慢性肺系病证以本虚为主要表现，急性发作期挟实，以本虚标实为主。

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。

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。

Based on the previous fault possibility distribution kept within the sample mean and covariance matrix with forgetting factors,a strategy for constructing the target output of the new training sample set was ...

该算法通过带有遗忘因子的样本均值和样本协方差矩阵保存样本所包含的故障可能性分布信息，并在此基础上产生新增样本的目标输出，用于训练FBF网络，以实现故障分类边界的在线跟踪。

The second eigenvalue of the sample covariance matrix of dual-channel SAR data can effectively indicate the ground moving targets.

利用双通道合成孔径雷达(synthetic aperture radar， SAR)数据的协方差矩阵的第二特征值，可以有效地检测地面运动目标。

However,for the large dimensional data.the sample covariance matrix is not a good estimator of the population counterpart.Many methods of parametric estimations and tests for multivariate statistical problems can not be simply used to deal with large dimensional data.

但是由于经典的大样本理论都是假定维数很小是固定的，故而经典极限理论并不适宜解决大维随机数据问题，很多多元问题的模型参数估计、模型检验的统计量已有的结果对大维海量数据并不能平凡推广。

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。

While the LCLS method is used to minimize the energy of the linearly fused information, the neural-network algorithm is developed to overcome the ill-conditioned and singular problems of the sample covariance matrix in the LCLS method.

LCLS方法用来最小化线性融合信息的能量，而神经网络算法则用来处理出现于LCLS方法中的样本协方差矩阵的不良条件和奇异性问题。

In the case where the sample covariance matrix is given, we perform the spatially smoothed Lanczos algorithm to fast compute the basis vectors for the signal subspace and the noise subspace.

如果阵列协方差矩阵是已知的，我们采用空间平滑的Lanczos算法快速估计信号子空间和噪声子空间。

Methods Clinical data of 3 cases of bile duct injury during laparoscopic cholecystectomy were analyzed retrospectively.

回顾总结3例LC术中胆管损伤的临床资料，分析3例胆管损伤的原因及对策。

These techniques are applied to the gobang.

本文将这些技术用于五子棋中。