在每次迭代中不但更新信道冲激响应而且更新噪声方差的估计值。
Channel impulse response is updated at each iteration, furthermore the noise variance is update also.
本文提出了一种单因子异方差模型，导出这种异方差分析方法，并给出了模型中均值与方差的估计。
This paper presents a single factor heteroscedastic model, deduce a method of this heteroscedastic analysis, and presents the estimation of mean and variance in this model.
第一种方法，可以使用数值搜索过程设定不同的m和b值并对它们求值，最终决定产生最小方差的估计值。
First, you can use a numerical search procedure to propose and evaluate different values of m and b, ultimately settling on estimates producing the least squared error.
在两步估计法中，利用正交变换得到了总平均的估计，然后采用拟合常数法得到了方差的估计，并证明了该估计是无偏估计。
In two-stage estimate, used orthogonal transformation to estimate aggregate average and fitting constants method to estimate variance which was unbiased.
很明显，随着项目参数估计中方差的增加，成功完成项目的可能性就减少。
Clearly, as the variance in the estimates of project parameters increases, the likelihood of completing the project successfully decreases.
假设估算的任务持续时间是3个月，并且估计的方差是1 个月。
Suppose the estimated duration of a task is 3 months, and the variance of the estimate is 1 month.
注意到风险的严重程度直接关系到项目参数的估计中的方差。
Note that severity of risk is directly related to the variance in the estimation of a project's parameters.
RealOptions方法对待估计中的方差类似于Black - Schole方程中的变动性。
Real Options methods treat the variance in the estimates similarly to volatility in the Black-Scholes equations.
使用最小方差法来确定最吻合的直线涉及寻找使预测方差最小的m和b的估计值。
Using a least-squared-error criterion to determine the line of best fit involves finding estimates of m and b that minimize the squared error of prediction.
可以用两种基本方法来找到满足最小方差法的估计值m和b。
The estimators, m and b, that satisfy the least-squared-error criterion can be found in two basic ways.
因为这时模型协方差阵结构仍含有方差参数，因此我们的目标是寻求可行估计。
The variance-covariance matrix still include parameter of variance in this condition, so our purpose is to look for feasible estimations.
其中，对于观测向量协方差阵的谱分解估计，我们很容易得到它在一些损失下的风险函数。
Thereinto, for the spectral decomposition estimate of the covariance matrix , we can gain the risk functions under some losses.
在卫星的状态估计过程中应用推广的序列估计算法，借助数值积分方法积分状态向量和协方差矩阵。
For the estimation of satellite state, the extended sequential estimation algorithm was applied. The numerical method was used to integrate state vector and error covariance matrix.
纵向数据为典型的相关数据，数据方差结构选择的正确与否直接影响估计的效率。
Longitudinal data is typical related data, and it is desirable to choose correct data variance structure since the correct structure affects the efficiency of estimation.
对应于方差参数这两种估计的回归系数的两种两步估计，它们的均方误差大致相当。
However, two-stage estimates of regression coefficients corresponding to these two estimates have approximate equal mean square error.
只要信噪比不甚低，频点自跟踪频率估计是无偏的且估计方差接近理论下限。
FATAFE realizes unbiased estimation and its estimated variance approaches to theoretical lower bound if only signal-to-noise ratio is not very low.
利用了估计出的用户空间特征构造协方差矩阵进行空间平滑的高分辨DOA估计。
The estimated spatial signature is adopted to construct the covariance matrix for high resolution DOA estimation.
又或者，在讨论方差估计的时候，我们常用S2，称为标准差的平方。
Or, especially when talking about estimates of the variance, we sometimes say S2 or we say standard deviation2.
为了证明ols估计量是渐近有效的，我们需要(1)给出一致的估计量但证明它有更大的方差。
To prove that OLS estimators are asymptotically efficient, one needs to (1) present an estimator that is consistent but its variance is larger.
模拟频率间接估计算法的估计方差比直接估计算法的方差要小2 ~3个数量级。
The variance of the frequency estimates of indirect method is 2 ~ 3 magnitudes less than that of the direct method.
由于在估计方法中无需假定误差方差，因此，所构造的估计方法更符合实际应用情况。
Since there is no need to suppose the variance of error, the estimation method which we established is more efficient in application.
给出一种基于噪声方差估计的稳健融合算法。
A robust fusion algorithm based on noise variance estimation is presented.
讨论岭型主成分估计在一类降维估计中的方差性质，证明了它的方差和在这类降维估计中最小。
This paper deals with the variance property of combining ridge and principal components estimate in the class of reduced-dimension estimates.
最大似然法采用了迭代的方法来估计噪声的协方差矩。
The estimation of noise covariance matrix is based on iterative procedure in ML.
本程序能对各种类型的控制网进行严密平差及方差分量估计，并输出平差后的各种信息。
The program can conduct rigorous adjustment and variance component estimation on all kinds of control networks and output all kinds of information after adjustment.
在大多数情况下，噪声的方差是未知的，需要对其进行估计。
In most cases, the variance of the noise is unknown, so it needs to be estimated.
结果通过固定效应与随机效应及对协方差矩阵的估计，使重复测量数据得以合理的分析。
Results Repeated measurement obtained reasonable results by the fixed and random effects along with efficient estimate of covariance matrix.
为解决目标跟踪精度与观测时间间隔的矛盾，提出了一种基于目标状态估计协方差控制的观测时间确定算法。
To solve the contradiction between target tracking accuracy and observation interval, an algorithm of calculating observation time based on target estimate covariance control was presented.
本文给出了集团抽样的不等概方法和均值的无偏估计，同时也给出了这种估计的方差及方差的无偏估计。
In this paper it not only gives the method of unequal probability in group sampling and unbiassedness of mean estimation and also gives the variance and its unbiassedness of estimation.
通过每一叶节点以及整个图像的噪声的估计方差变化计算叶节点阈值。
The threshold of each leaf is calculated through the variance of each and the estimated noise variance of the entire image.
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