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.
本文研究具有即时观测和两个延迟观测系统的线性最小均方差估计。
This paper is to study the linear minimum variance estimation for discrete-time systems with instantaneous and two time delayed measurements.
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.
从半同胞协方差估计出来的，同一性状的加性遗传方差为0.9602。
The additive genetic variance of the same character, estimated from the covariance of half sibs, was 0. 9602.
方差估计是抽样调查的重要组成部分，重抽样方法是常用的方差估计方法。
The variance estimation is very important part in sample survey, and replicated sample method is a common method.
然后引入新息重组序列解决该最小方差估计问题。这是在网上找到的，…
Then, the latter one is solved by introducing a re-organization innovation sequence.
当噪声的方差已知，且过程是平稳的，应用递推最小方差估计，能够增强信号。
When the noise variance is known, and it's process is stationary, the signal can be enhanced by use of the recursive least mean-square estimation.
线性无偏最小方差估计与最优加权最小二乘估计是线性模型下两种最常用的估计方法。
The linear unbiased minimum variance estimate and the optimally weighted least squares estimate are two of the most popular estimation methods for a linear model.
重点讨论了单一插补的方差估计与多重插补的简化计算以及使用回答概率的单一插补等。
Then, variance estimates of single imputation, simplified calculation of multiple imputation and imputation using response probability are studied.
在给定的线性模型下，讨论了最优加权最小二乘估计与线性无偏最小方差估计性能比较。
The discussion on the property comparison between optimally weighted LS estimate and linear unbiased minimum variance estimate for a linear model is presented.
这里的学习模型包括对于估测变量的方差估计，以及股票收益率与这个预测变量的协方差。
The learning model includes the volatility estimation of the predicative variables and the covariance of stock return and this predicative variable.
在线性无偏最小方差估计准则下，推导出了该离散化后所得系统的全局最优递推状态估计算法。
In the sense of linear unbiased minimum variance estimation, a global optimal recursive state estimation algorithm for this discretized linear system is proposed.
基于线性无偏最小方差估计理论，提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。
Based on linear unbiased minimum variance estimation theory, a fusion algorithm which fused the state vector of nonlinear systems with dissimilar sensors with arbitrary correlated noises is developed.
基于线性无偏最小方差估计理论，提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。
Based on the linear unbiased minimum variance estimation theory, an asynchronous fusion algorithm that fused the state vector of linear system with arbitrary correlated noises is developed.
研究了有关分批估计、自适应加权和方差估计算法在多传感器数据融合中的有效性、准确度和实时性。
The validity, accuracy and actual time of the algorithm for batched-estimation, self-adaptive weighting and variance-estimation are studied in multi-sensors data fusion.
在这种情况下，最优加权最小二乘估计变成关于观测和输入的非线性估计，且与线性最小方差估计不可比。
In this case optimally weighted LS estimate is not a linear estimate of a parameter given input and observation anymore and can not be compared with linear minimum variance estimate.
基于无偏最小方差估计(UMVE)算法，提出了一种新的恒虚警检测器(UMVEM - CFAR)。
A new CFAR detector (UMVEM-CFAR) based on Unbiased Minimum-variance Estimation (UMVE) is presented in this paper.
在信号处理、控制和通讯等技术领域，常常使用线性最小方差估计和最优加权最小二乘估计对参数作出估计。
Linear minimum variance estimate and optimally weighted LS estimate are often used in many fields such as signal processing, control and communications.
基于模糊逻辑，无偏最小方差估计(UMVE)和单元平均(CA)提出一种新的恒虚警检测器(FUCAP)。
False Alarm Rate (CFAR) detector (FUCAP) based on Fuzzy logic, Unbiased Minimum-Variance Estimation (UMVE) and Cell Averaging (CA) is presented in this paper.
目前的小波去噪绝大多数都是基于阈值决策的方法，而阈值选择往往都是建立在对信号小波变换系数的方差估计上。
The present method for noise reduction with wavelet transform is based on the thresholding method and threshold selection will depend on the estimation of the noise standard deviation.
该算法以低通滤波算法估计背景中的低频成分，及图像局部方差估计背景起伏，来计算出局部自适应的目标检测判决门限。
The algorithm adopts low pass filter to estimate the background and calculates the standard deviation to estimate the fluctuation of background to get the local adaptive detection threshold.
噪声的方差估计是含噪图像处理中的常见问题之一，其基本思想是通过某种方法寻找含噪图像中的“纯”噪声子图像来估计原噪声方差。
Variance estimation is a common problem in noised image processing. The basic idea is to get a sub-image that includes only "pure" noise to estimate the variance of original noise.
重权数方法与重抽样方法类似，也是利用计算机的优势通过重复获得大量不同的子样本的重权数估计目标参数的估计量和方差估计量，是一种稳健、通用、有效的方差估计方法。
Replicate weight, which is similar with replicated sample method, gets a lot of replicated weights to obtain the estimators by computer, it is also a robust, common and effective method.
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.
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.
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.
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.
估计项目的成本、工作，和持续时间，以及其方差。
Estimate the project's cost, effort, and duration, along with its variance.
特别地，团队可以估计三个值——最低、标准和最高估计值——交涉去掉了风险，并且应用这些值重新估计项目方差。
In particular, the team can estimate the three values — lowest, nominal, and highest estimations — assuming that the risk was removed, and then apply these values to reestimate the project variance.
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.
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