1) phaseweighting method
随机相位加权
2) double random phase encryption
双随机相位加密
1.
The double random phase encryption method based on optical transformation is firstly introduced,then geometrical transformation methods such as the Arnold transformation and chaotic encryption are described.
首先介绍了光学变换中的双随机相位加密方法,其次描述了几何变换中的Arnold变换和混沌变换两种经典置乱加密方法,最后将这三大类加密方法进行组合实现图像复合加密。
3) random weighting
随机加权
1.
Application of Bayesian method based on random weighting in reliability parameter estimation;
基于随机加权的Bayes方法在可靠性参数估计中的应用
2.
The SPOT method for reliability verification under two parameter weibull distribution is discussed,whereas there is little history data,random weighting simulation is used to estimate the figure parameter of Weibull distribution and the prior test parameter.
研究了二参数Weibull分布下可靠性指标验证的SPOT方法,鉴于少量的历史数据,采用随机加权法对Weibull分布的形状参数和待检验指标的验前超参数进行估计,为Weibull分布的SPOT验证提供了参数值。
3.
Using the random weighting method, its approximating distribution which is more precise than normal approximation is obtained.
研究了一类有渐近展开分布的逼近问题，应用随机加权法给出了比正态逼近精度更高的模拟分布。
4) random weight
随机加权
1.
Mean ergodic theorems for square sequence with random weights;
随机加权平方序列的平均遍历定理
5) whighted random
加权随机
6) randomly weighted bootstrap
随机加权
1.
Approximation to the distribution of least distances estimate in multivariate linear models by randomly weighted bootstrap;
多元线性模型中最小距离估计分布的随机加权逼近
2.
The randomly weighted bootstrap method provides a way of assessing the distribution of the M-estimators without estimating the nuisance quantities of the error distributions.
利用随机加权方法可以避免先对误差分布中的冗余参数进行估计。
3.
This paper is concerned with the consistency and asymptotic normality on the RSS M-estimates and approximation to its distribution by randomly weighted bootstrap.
讨论了序集抽样下的对于一般分布族M估计的相合性和渐近正态性并且通过随机加权的方法来估计M估计的分布。
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参考词条