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According to the image evaluation of the absolute central moment of clarity of images, multiple images at the same time read, and gives its definition curve.

详细说明:根据图像的绝对中心矩评价图像的清晰程度,同时读入多幅图像,并给出其清晰度曲线。

A method of moment features testing components' states is put forward to solve this problem.First the components' barycentric coordinates and second-order centered moments are calculated.Then the inclined angles are obtained,on the basis of which the inclined components can be rectified.

针对这一问题,提出了一种矩特征检测构件状态的方法,该方法首先计算出图像中构件的质心坐标和二阶中心矩,然后求出构件的倾斜角度,根据倾斜角对处于倾斜状态的构件进行校正。

Inaddition,we propose a so-called symmetric random weighting method to deal withthe case when the third central moment of underlying population is zero.

此外,我们还提出了所谓的对称随机加权法以处理总体三阶中心矩为零的情形。

For Hu invariant moment having no scale invariance, two modified algorithms are proposed: one is based on the normalized central moment coming from the concept of image square and the other is based on constructing a new invariant moment.

主要贡献如下: 1。针对离散情况下Hu不变矩特征仅仅具有平移、旋转不变性,不具有比例不变性的问题,提出了两种改进算法:一种是从图像正方形概念演变而来的归一化中心矩的修正;另一种是重新构造新的不变矩特征。

The paper consists of three parts. First, we give the calculation for every order central moment for the Logistic population, mean vector and covariance matrix of the order statistic of random sample from the Logistic population, and means of several special functions for the order statistic of random sample from the Logistic population. Secondly, we discuss the parameter estimation for the Logistic population. Finally, we solve the question about the goodness-of -fit test for the Logistic population.

研究的主要内容分三部分:第一部分是关于Logistic总体各阶中心矩、样本次序统计量期望向量与协方差阵及若干个特殊的样本次序统计量函数期望的计算问题;第二部分是关于Logistic总体分布参数的估计问题;第三部分是关于Logistic总体的拟合优度检验问题。

The modified double weight function method is to introduce new weight functions doing subtraction between two negative exponential-type functions. For a Pearson type three probability distribution, the MDWF is able to make estimations of the Standard Deviation and Coefficient of Skewness C(subscript S from the second-order weighted central moments reduced to the first-order weighted central moment estimations.

修改的双权函数法是将两个负指数型函数之差所构成的函数类取作权函数,对于皮尔逊Ⅲ型分布,它能使σ和Cs的估计由原权函数法的二阶加权中心矩降低为一阶加权中心矩估计。

The relations of electrophoresis velocity, electroosmosis velocity and electric dispersion velocity are also investigated with these expressions. The results show that this new model offers a better explanation for peak compression effect on the migration behaviour of charged solute in CEC. The retention time will be shorter by peak compression effect, which is similar to a solvent gradients process. The peak compression effect is not steady, and doesn't appear until the conditions are fitted in some special situation.

基于弛豫理论所建立的基本模型,在考虑溶质在两相中皆有可能发生正、反向迁移的情况下,得到了流出曲线一阶原点矩和二阶中心矩的理论表达式,并通过对溶质在两相中电扩散速率与电泳速率、电渗流速率关系的分析结果证实:溶质在固定相表面的电扩散行为可以使其保留变弱,出峰加快;而这种电扩散导致的超常柱效峰的出现具有不稳定性,只有在多方面因素综合影响匹配的情况下才可能出现。

The Monte Carlo simulation shows that the present method is better than the Method of Moment in unbiasedness, and is generally comparable to MOM in efficiency.

对P-Ⅲ型总体分布,本文提出的权函数能使σ和Cs的估计由原方法的二阶加权中心矩降低为一阶加权中心矩估计。

The experimental method are established to determine the tortuosity factor. The SPSR method and the computer system are used to get the one-step origin quadrature and the two-step center quadrature. Parameter evaluation is also used to calculate the tortuosity factor.

本文建立了催化剂曲折因子的实验测定装置,用SPSR法,应用计算机采样系统,得到脉冲应答曲线的一阶原点矩和二阶中心矩,结合参数估计的方法,计算了XNC-98甲醇合成催化剂的曲折因子。

Based on multiresolution analysis, the definition of wavelet high central moments and high mix central moments are put forward by us. Further more, methods for calculating Betas, Gammas and Thetas and multiresolution CAPM are established also.

利用小波多分辨分析的特点,给出了小波高阶中心矩和高阶混合中心矩的定义,基于此给出了多分辨系统风险测度Beta、Gamma、Theta的计算方法和多分辨CAPM。

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