1) local variance estimation
局部方差估计
1.
The improved algorithm was proposed for reducing the ultrasonic image speckle noise and ameliorating image quality,in which the double density dual tree discrete wavelet transform(DD-DT DWT) was combined with the bivariate shrinkage function(BSF) with local variance estimation.
针对去除斑点噪声提高超声图像质量的问题,提出双密度双树离散小波变换(DD-DT DWT)结合局部方差估计的双变量收缩阈值函数(BFS)的图像降噪改进算法实现超声图像降噪。
2) state and variance estimation
局部状态和方差的估计
4) local root square estimation
局部根方估计
1.
The superiorities of local root square estimationfor for mixed coefficient linear model parameter;
混合系数线性模型参数的局部根方估计的优良性
2.
On the basis of studying local root square estimation of parameter in a linear model with mixed coefficients,the properties of this estimation is proved,such as F-optimality and improvement on anti-jamming of least squares estimate under the principle of matrix condition number.
在研究混合系数线性模型参数的局部根方估计的基础上,进一步论证了此估计的F-优良性和在矩阵条件数准则下对最小二乘估计抗干扰性的改进。
3.
Two forms of local root square estimations of parameter d in a linear model with mixed coefficients dL(k) and dL(k) are given in the case of repeatedly measured data, where 0<k<1.
在连续测量数据情况下,给出了混合系数线性模型参数的局部根方估计dL(k)和dL(k)(0
5) local orientation estimation
局部方向估计
6) local estimate
局部估计
1.
In this paper,the authors improve the coefficient s of the local estimates on harmonic functions’ derivatives from Ck =(2 n+1nk)kα(n) to Ck =(n+k) n+kα(n)n n-k , k∈N, by employing induction and mean-value formulas for harmonic func tions and by looking for the maxima of functions.
本文利用归纳法和调和函数的平均值公式,并通过寻求函数的最大值,把调和函数k阶偏导数的局部估计式的系数由Ck=(2n+1nk)k/α(n)缩小到Ck=(n+k)n+k/α(n)nn-k。
补充资料：方差估计值
分子式：
CAS号：
性质：由样本测定值计算的方差S2，称为样本方差，S2是总体方差σ2的无偏估计值。因此，S2又称为方差估计值或估计方差。S和σ分别为样品测定值的标准差和样本总体呈正态分布的标准差。
CAS号：
性质：由样本测定值计算的方差S2，称为样本方差，S2是总体方差σ2的无偏估计值。因此，S2又称为方差估计值或估计方差。S和σ分别为样品测定值的标准差和样本总体呈正态分布的标准差。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条