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The algorithms are respectively to compute arithmetic mean of the probabilities and normalized geometric mean of the probabilities.

采用公理化方法给出了相应的算法,这两个算法算法分别是对概率进行算术平均和几何平均,再进行归一化处理。

And we propose the algorithm using adaptive threshold and nonlinear plus arithmetic operator to solve the problem in enhancing image blocks.

首先介绍视频图像增强中的两种常用算法(直方图均衡化法及钝化算法),并针对现有的算法对图像局部细节增强效果不足的缺点,提出结合自适应阈值图像选取和非线性增益算子的图像增强方法。

This algorithm not only avoids the local optima and also robust to initialization.

利用改进遗传算法强大的全局寻优能力,这种算法较好地克服了FCM算法对初始化敏感、容易陷入局部最优的缺陷。

Considering the effect of interval on the original estimation accuracy and noise factors, the optimal interval, which minimizes estimation errors, is derived. It is related with MT's velocity. In order to reach the optimal interval, joint velocity estimation and interval calculation are applied. Finally, the feasibility of proposed algorithms is discussed.

通过对AWGN信道下的COV速度估计精确建模,数值分析了协方差计算间隔对COV算法本身精度及噪声因子的影响;根据分析的结果,以归一化平均误差最小为目标对估计算法进行了改进,获得了基于COV的精确速度估计;最后还对算法的可行性进行了讨论。

In this paper, a new kind of two-dimensional Cellular Automata is studied. Several algorithmic rules are discovered that can be used to design new Cellular Neural Networks which can implement shadow detector and overstriking for character recognition. Their Boolean expressions and learning algorithms are introduced detailedly.

摘要该文深入研究了一种新的二维细胞自动机,找到了几种新的算法规则可以用来实现字符的粗化处理和阴影检测,并且用这些规则设计了几种新的细胞神经网络,文中详细介绍了这些算法规则的布尔代数表达式和细胞神经网络学习算法。

The paper studied the fundamental principes of LMS variable stepsize LMS NLMS algorithm and the performace of the filter based on these algorithms.

文中对LMS算法、变步长LMS算法、归一化LMS算法的基本原理及滤波特性进行了分析,并详细分析了它们的收敛、失调等特性。

This thesis paper presents two optimizing methods to solve fairness guarantee issues in storage system of Xen Virtual Machine Monitor: proportional CPU allocation and weighted disk service, which have not been properly addressed by previous research work.

本文提出两种提升Xen虚拟机平台存储系统公平性的算法:比例化的CPU分配算法以及基于权重的磁盘调度算法,分析并解决了之前研究没有涉及的问题。

By use of first-order linear expansion of Taylor series, the linearization process of both nonlinear constraints and objective function of long-term optimal scheduling model are performed and an optimal scheduling model based on seccessive linear programming is built; an approach to solve Optimal scheduling of cascade hydropower station problem by seccessive linear programming is put forward, the scale-down factor of iteration step length is used to ensure that the algorithm can converge to the optimal solution of optimization problem quickly and accurately.

通过采用泰勒级数一阶描述形式,对优化调度目标函数和约束条件中的非线性约束进行线性化处理,建立了基于连续线性规划算法的优化调度数学模型,提出了用连续线性规划技术求解梯级水电站优化调度问题的算法,并采用迭代步长的动态比例缩减因子保证算法能快速准确地收敛到优化问题的最优解。

A four-point algorithm is presented in this paper for finding the least-squares solution of R and T,which is based on the singular value decomposition of matrix,and the derivation of the algorithm is provided too.

本文提供一种基于矩阵单值分解求解R和T的最小二乘解的四点算法,并对算法进行了推导,该算法与迭代法相比,具有速度快、用点少的优点,尤其适用于实际应用的颅脑手术可视化系统。

The advantages of this new method are:(1) The field conductivity distribution function is fitter the actual condition than tradition methods:(2) On the condition of triangle elements cut of field, making the calculation speed increase in large degree than tradition methods.

与单元电导率重建算法相比,节点电导率重建算法的优点有:(1)使场域电导率分布函数更符合实际情况,克服了传统算法中对电导率作离散化处理的缺陷;(2)当场域采用三角形单元剖分方式时,在场域的剖分密度保持不变的情况下,可以大大提高重建计算的速度;(3)在场域采用三角形单元剖分方式时,场域的剖分密度可以比以前加大一倍,在不降低重建计算速度的前提下,可以改善重建计算的精度;(4)由于重建的是所有节点的电导率,避免了先前单元电导率重建图像中"阶梯"状边缘和"锯齿"状边缘的出现,明显地改善了图像的视觉效果。

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But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊!不用提了。提到肉,真是糟透了。

Tristan, I have nowhere to send this letter and no reason to believe you wish to receive it.

Tristan ,我不知道把这信寄到哪里,也不知道你是否想收到它。