MM1

说明：  计算一组数据的统计参数，包括最大值、最小值、平均值、方差等。(Calculate the statistical paremeters of a set of data, including the maximum， minmun, mean,variance.)

能实现导航，路线规划，可增加途径点后在进行导航，也可直接导航(To achieve navigation)

matlab programme for loss calculation in HT line

一元线性回归分析的源码，通过几组数据来对该数据进行分析是否回归显著(Linear regression analysis of the source, through several sets of data to the regression analysis of the data is significant)

jcr分区的表，对任何科研工作者都非常重要，列出了杂志所处的档次(jcr partition table for any researchers are very important, the magazine which lists the grade)

系统辨识及其MATLAB仿真,M序列产生程序(System Identification and MATLAB, M sequence generator)

wavelet signal processing

贝叶斯分类器 模式识别（电子工业出版社）源代码(Bayesian classifier ..........)

本章有三个目的：一是讲述 MATLAB正常运行所必须具备的基础条件；二是简明地介 绍MATLAB及其操作桌面Desktop的基本使用方法；三是全面介绍 MATLAB的帮助系统。 本章的前两节讲述：MATLAB的正确安装方法和 MATLAB 环境的启动。因为指令窗 是MATLAB最重要的操作界面，所以本章用第 1.3 、1.4 两节以最简单通俗的叙述、算例 讲述指令窗的基本操作方法和规则。这部分内容几乎对MATLAB各种版本都适用。第1.5 到第1.8 节专门介绍 MATLAB最常用的另五个交互界面：历史指令窗、当前目录浏览器、 工作空间浏览器、数组编辑器、M 文件编辑器。 鉴于实际应用中，帮助信息和求助技能的 重要性。本章专设第1.9节专门叙述MATLAB的帮助体系和求助方法。 作者建议：不管读者此前是否使用过MATLAB，都不要忽略本章。(This chapter has three purposes: one is about MATLAB normal operation must have the basic conditions 2 it is concisely interface Salt MATLAB and its operation is the basic way of using the Desktop Desktop Three is a comprehensive introduction of MATLAB help system. About the first two sections in this chapter: MATLAB installation method and the MATLAB environment right start. Because the instructions window Is the most important interface of MATLAB, so this chapter with 1.3 and 1.3 two accounts in the most simple and popular, example Basic operation methods and rules about command window. This part of almost all versions of MATLAB. 1.5 To section 1.8 on another five interfaces: the most commonly used MATLAB command window, the current directory browser history, The workspace browser, array editor, M file editor. In view of practical applications, the help information and skills for help Importance. Set up in section 1.9 of this chapter specifically address the MATLAB help syst)

利用加权的排列熵算法WPE，通过白噪声加冲激信号的测试(Using the weighted permutation entropy algorithm WPE, through the white noise plus impulse signal test)