Homomorphic Linear Prediction Coding (HLPC) gives unbiased estimation in any case.
同态线性预溯编码(HLPC)算法在任何情况下都是无偏的。
A more accurate and unbiased estimation of case fatality for SARS can be obtained with a third method, survival analysis.
一种对SARS病例病死率更准确和广为接受的估计可以用第三种方法即生存分析得到。
Unbiased estimation of flow size, the upper bound of relative error and the time and space complexity are deduced theoretically.
理论上给出了算法的流大小的无偏估计，相对误差的上界以及时间和空间复杂度。
Unbiased estimation for the two parameters of the special model is proposed and improved by covariance adjustment approach, separately.
对两个参数各提出了一个无偏估计并采用协方差改进法分别对其作了改进。
FATAFE realizes unbiased estimation and its estimated variance approaches to theoretical lower bound if only signal-to-noise ratio is not very low.
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。
In this paper we investigated optimal linear unbiased estimation of the linear estimable function in general multivariate random effect linear model.
本文研究了一般的随机效应多元线性模型中线性可估函数的最优线性无偏估计。
The uniformity of electron beam scanning is one of the important indices of linear accelerator. Unbiased estimation is an effective method for scanning uniformity calibration.
电子束扫描均匀度是辐照电子直线加速器的重要指标之一，采用无偏估计方法对电子束的扫描均匀度作校正是一种有效的方法。
The estimation of this class of the distributed group can be done by the unbiased estimation, uniformly minimum variance estimation and the optimal linear unbiased estimation.
这一类分布族的参数估计可用无偏估计，一致最小方差无偏估计和最优线性无偏估计。
WT5BZ]Discusses estimation of minimum value I form composite non-homogeneous Poisson process model, and obtains its structural reliability and minimum variance unbiased estimation.
性质：在系统模型辨识过程中，寻求使实际测量与计算值间的方差达到最小的参数作为参数的估计值的方法。
Aiming at the problem of measurement conversion within the target tracking, a new algorithm combined best linear unbiased estimation with interacting multiple model methods is derived.
针对机动目标跟踪中常见的量测转换问题，提出了一种基于球坐标系下最优线性无偏估计滤波的交互多模型算法。
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。
The parameter estimation achieved by this method is not unbiased. The precision of curve fitting is low.
但这种方法进行的参数估计不是无偏估计量，因此其非线性拟合精度较低。
The theory analysis and simulation results show that the estimation is asymptotically unbiased and has strong consistency, and that the new method is very efficient and practical.
理论分析和仿真结果都表明估计结果具有渐近无偏性和一致收敛性，该方法辨识精度高，具有良好的实用性。
It was proven theoretically that the estimate errors of unbiased regression estimation are less than that of general regression estimation.
提出了无偏回归估计方法，从理论上证明了该法比常规的估计法具有更小的平均估计误差。
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.
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。
In the sense of linear unbiased minimum variance estimation, a global optimal recursive state estimation algorithm for this discretized linear system is proposed.
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。
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.
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。
False Alarm Rate (CFAR) detector (FUCAP) based on Fuzzy logic, Unbiased Minimum-Variance Estimation (UMVE) and Cell Averaging (CA) is presented in this paper.
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)。
Also a method of estimation is obtained. And the estimate is unbiased.
文中给出了一种估计方法，并证明了所作的调整满足无偏性要求。
By analysing the differential equation of GM(1,1), this paper gives an unbiased GM(1,1) model and proposes a new method of estimation of the GM(1,1)model parameters.
通过分析GM （1，1）白化方程的解析表达式 ，建立了无偏的GM （1，1）模型 ，给出了估计模型参数的新方法。
A new CFAR detector (UMVEM-CFAR) based on Unbiased Minimum-variance Estimation (UMVE) is presented in this paper.
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.
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)。
应用推荐