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This file is used to develop Phase locked loop.

说明：  对于顾客成批到达、成批服务排队系统，给定输入参数： ? ? ， ， λ ?（都为正数），随 机生成顾客到达的间隔时间，一批顾客中的数量，一批顾客的服务时间；成批服务的顾客数 c （为正整数）；初始时刻，系统中人数为 0；系统运行时间 T （比较大，使得系统稳定）， 按照前述规则模拟系统运行。回答： （1） 参数 ? ? ， ， λ 如何取值，才能保证系统排队人数不会趋于无穷，即系统稳定； （2） 参数 λ 的灵敏度分析，即固定 ? ? ， 且 λ 取不同值（如 5 个，参数组合保证系 统稳定）时，五个排队指标如何变化。一个指标的变化趋势画一个子图，每个 子图需要加标题注明，五个指标共 5 个子图画在一张大图上； （3） 参数 ? 的灵敏度分析，要求同（2）； （4） 参数 ? 的灵敏度分析，要求同（2）； （5） 参数 c 的灵敏度分析，要求同（2）。(For the queuing system of customers arriving in batches and serving in batches, the input parameters are given as follows: The interval between arrivals of machine generated customers, the number of customers in a batch, the service time of a batch of customers; the number of customers serving in batches C (positive integer); initial time, the number of people in the system is 0; system running time T (relatively large, making the system stable).)

互相关求时延差的一个程序，通过各种不同方法实现的(Poor cross-correlation order to delay a program through a variety of different methods to achieve)

求解allan方差，可以用于消除导航偏差，并可以根据所画曲线判断误差类别。(Solution of the allan variance can be used to eliminate the navigation deviation, and according to drawing curves to determine the error category.)

一个约50行matlab代码的有限元分析简介(Introduction to finite element analysis of an approximately 50 lines of matlab code)

这是用matlab实现的数据分析和统计程序，包括：用线性回归法估计一个因变量与多个自变量之间的线性关系，用多项式回归法估计一个因变量与一个自变量之间的多项式关系等 (This is achieved using matlab data analysis and statistical procedures, including: linear regression estimation one dependent variable with more than a linear relationship between the independent variables, polynomial regression is estimated that a dependent variable and an independent variable of the polynomial relationship between the)

多重分形算法 用于图像的处理和边缘图像用多重分形技术检测。(Multifractal algorithm)

OpenCV2 ComputerVision Application Programming Cookbook英文版，适合初学者学习(OpenCV2 ComputerVision Application Programming Cookbook in English, suitable for beginners to learn)

In the distributed processing, where common labeled data may be not available for designing classifier ensemble, however, an ensemble solution is necessary, traditional fixed decision aggregation could not account for class prior mismatch or classifier dependencies in electronic technology. Previous transductive learning strategies have several drawbacks, e.g., feasibility of the constraints was not guaranteed and heuristic learning was applied. We overcome these problems by developing improved iterative scaling (IIS) algorithm for optimal solution. This method is shown to achieve improved decision accuracy over the earlier approaches in electronic technology

说明：  又一个用matlab的GUI编写的贪吃蛇程序。(also a GUI using Matlab prepared by the Snake procedures.)