查询词典 normal algorithm

It can draw a conclusion that 1-bit algorithm is feasible and valid method for signal time delay estimation replacing with cross-correlation principle The paper gives an overview about the localization principle with temperature sensors arrays based on the far-field algorithm and the near-field algorithm, and discusses the performance of fire source localization principle based on combination of the two algorithms.

本文介绍了将热气流温度波前视为平面波的远场算法和将热气流温度波前视为圆形波的近场算法，讨论了远、近场算法相结合的火灾定位性能。

The results of simulation show that the backoff algorithm based on logarithmic function is obviously effective in improving the capability of throughput and fairness of Ad Hoc network, reducing network delay and the ratio of packet loss, and the capability of new backoff algorithm is better than that of Binary Exponential Backoff algorithm.

仿真结果表明，基于对数函数的退避算法对提高Ad Hoc网络的吞吐量性能和公平性、降低网络延时有明显的效果，性能优于二进制退避算法。

I will introduce a method to solve this problem when data come from some common life distribution, such as Weibull distribution and Lognormal distribution. In chapter 1, we introduce background of grouped data and how to analyze them with classical methods. In chapter 2, we introduce EM algorithm and show that the estimation of the parameters get through this algorithm is convergent under certain conditions. In chapter 3, we use EM algorithm to estimate parameters in Weibull distribution and Lognormal distribution by grouped data and the simulation shows this method is available.

第一章首先介绍分组数据问题的背景以及如何利用经典的统计方法对分组数据进行分析，并指出分析过程中所遇到的困难；第二章将介绍一种处理不完全数据时的常用算法，EM算法，并说明利用这种算法所得到的估计具有良好的收敛性；第三章将利用EM算法对基于分组数据的威布尔分布和对数正态分布进行参数估计，并进行模拟表明此方法的可行性与有效性。

Based on the old algorithm, introduce new Linear Feedback Shift Register, new Central Limit Theorem, Maclaurin Equation to generate uniform distribution, gaussian distribution, exponential distribution's random number respectively and analyze them, compares the difference between new algorithm and old algorithm.

在原有算法的基础上，提出了改进型线性反馈移位寄存法、改进型中心极限定理法和麦克劳林展开法，并对其作测试仿真，比较传统算法与改进型算法之间的优缺点。

The main work and innovation1 In general , a image compression method has different effect to different image . Some are fit for image which has much high frequency . Some are fit for image which has much low frequency .This paper analysis the applicability of fractal algorithm . In this dissertation , an improved algorithum is given . The basic algorithum without eight change and the joint use of quantitative coding , The compression ratio and PSNR can be adjusted , and it can get more quickly speed of coding .2 To a group of exact fractal code , the decoding image can be any resolution .With this characteristic ,choose the proper domain block and range block,this paper get an algorithum which can get higher decoding PSNR and speed than the basic fractal algorithum.3 Give a new method to calculate the scale factor . The calculation of basic algorithum is complex and enormous . The factor of scale is an important variable of the basic algorithm. Now there are two methods to calculate the factor of scale .A new method was given to calculate the factor of scale. The calculation load and complexity are reduced by the new method. Compared with the basic algorithm , the method can reduce coding time.4 The basic fractal algorithum is based on the Collage theorem and contraction mapping theorem . A mathematic model based on basic fractal algorithum is given .

本文的主要工作及创新点主要包括以下几点：1一般情况下，一种图像压缩的方法对不同特点的图像，压缩效果会有所不同，本文利用分形压缩编码对不同特点的图像进行编码，分析了分形编码对不同图像的编码适用性，利用去掉8种变换的分形编码算法与简单的均匀量化编码方案相结合，得到了一种可以调节压缩比与解码质量的分形编码方案，该提高编码速度6倍以上。2分形编码的特点之一是分形解码的分辨率无关性，即对于一组分形编码可以将其解码到任意分辨率下，本文利用分形编码的这一特点，结合不同的量化编码方案，选择合适的定义域块与值域块及适当的编解码分辨率，得到了一种提高解码质量，编码速度提高12倍以上的加速算法。3比例因子是基本分形算法中的一个重要变量，目前有两种计算比例因子的方法，文中给出了一种新的求比例因子的方法，该方法简化了求比例因子的计算，从整体上减小了基本分形算法的计算量，简化了算法4分形压缩的数学基础是不动点定理与拼贴定理，本文根据基本的自动分形编码方法，建立数学模型对其进行推导，得到了用普通数学的极限理论解释分形编码的数学表达式，从而对由基本分形编码得到的解码图像中的像素点的值给出了确定的表达式。

The study of heterogeneous mapping algorithm based on the human eyes space-variant system. According to the "one-one mapping ring" and mapping direction we classify the mapping transformation into two sorts: forward algorithm and reverse algorithm. Based on the general rules of constructing this mapping model linear model and arctangent model are studied and verified.

本文基于人眼的空间分辨率可变视觉理念，研究了非均匀采样变换实现算法和非均匀采样变换的尺度轴转换与角度轴转换具有的"一一映射环"以及非均匀采样实现的两类转换：正向转换与逆向转换；在非均匀采样转换模型的基本构造规则基础上，讨论了区别于对数极坐标转换的线性非均匀采样模型及反正切非均匀采样模型的建立。

Genetic algorithm with matrix encoding, different mutate operator, crossover operator and selection operator based on order rank selection algorithm was applied to solve the problem. Genetic algorithm was approved to be convergence.

本文第三章提出了基于矩阵编码的遗传算法的最低费用的下一跳路由，解决了下一跳路由中不考虑网络负载和时延可能产生拥塞的问题，优化了网络的性能，使得网络中的带宽得到合理分配。

Experiment in this paper validates the convergence of the improved Mean Shift algorithm, contrast convergence rate of improved Mean Shift algorithm with convergence rate of traditional Mean Shift algorithm.

本文的实验也进一步验证了改进的Mean Shift算法的收敛性，并对比了改进前后的Mean Shift算法的收敛速度。

So the priority that combines packet delay and dynamic queue length is obtained. A packet scheduling algorithm based on this priority scheme is proposed for the input memory switch. The scheduling algorithm supports both packet delay and packet queue length. The application of this scheduling algorithm in Crossbar and Clos networks is presented.

在此优先级的基础上，提出了输入缓存交换结构中能够兼顾分组时延与分组队长的分组调度算法，将此调度算法用于单Crossbar交换单元和Clos网络，并提出了在Clos网络中按照优先级均衡负载的路由算法。

Association rules mining is a very active field in data mining and there are many algorithms today. In this field, the most classical algorithm is Apriori put forward by Agrawal et. al and it is used widely. The paper analyzes the advantages an disadvantages of Apriori, AprioriTid and AprioriHybrid algorithm in mining association rules. To solve the bottle of AprioriHybrid algorithm, a Support-Matrix method to rapidly verify the 2-frequent itemsets is put forward. To accelerate the speed of verify the k-frequent itemsets, a simple and highly efficient method of minimizing the trade database is given. All these two methods improve the efficiency of AprioriHybrid method.

关联规则挖掘是数据挖掘中一个非常活跃的领域，当前有许多种算法，最经典并被广泛使用的是Agrawal等人提出的Apriori算法及其衍生算法，本文分析了Apriori，AprioriTid和AprioriHybrid算法的优缺点，针对AprioriHybrid算法的瓶颈提出一种使用支持度矩阵对频繁2项集快速验证的方法，并给出一种简单易行，而又高效的逐步缩减交易数据库的方法，加快对候选频繁k项集的验证速度，从而提高了AprioriHybrid算法的效率。

Pachomius manual labour was organized as an essential part of the monastic life; and since it is a principle of the monks as distinguished from the mendicants, that the body shall be self-supporting, external work of one sort or another has been an inevitable part of the life ever since.

根据圣pachomius体力劳动组织作为一个重要组成部分寺院生活；以来，这是一个原则的和尚，作为有别于乞丐，该机构应自支撑，对外工作的这种或那种已一个必然的一部分，生活至今。

In order to study the effects of parametrical rolling on the ship movement and tilts, in allusion to ship's navigating in regular following waves, the equation of ship rolling motion is transformed into normal Mathieu equation by proper variable replacement when strong parametrical excitation in restoring moment varied according to sine or cosine wave.

为研究参数横摇对船舶运动和倾覆的影响，通过对船在规则波上随浪航行时，恢复力矩中出现的1个以正余弦规律变化的强参数激励项进行适当的变量置换，将船舶的横摇运动方程转换成标准形式的Mathieu方程。