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说明：  一、 实验目的 1 熟悉MATLAB环境。 2 掌握MATLAB矩阵输入、运算以及MATLAB的数值运算功能。 3 掌握各种数据的创建‘访问，扩建，缩减。创建一个2*2元胞数组，扩充和缩减 (First, the experimental purpose a familiar MATLAB environment. 2 master MATLAB matrix input, operation and function of MATLAB numerical computing. 3 master data to create a variety of ' access, expansion, reduction. Create a 2* 2 array of cellular expansion and reduction)

说明：  本程序实现了4DPSK的调制与传输，计算了误码率等性能参数(This procedure achieved 4DPSK modulation and transmission, calculated performance parameters such as bit error rate)

本程序提供一个matlab环境下的二维雷达精度因子（DOP）的算法(The program provides a two-dimensional radar accuracy factor matlab environment (DOP) algorithm)

本书提供了使用MATLAB的实践性指导。本书是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。(This book provides the use of MATLAB practical guidance. This book is a concise MATLAB reference books, applies to both beginners, also suitable for senior MATLAB users. )

m_map是加拿大学者编写的一个在matlab上绘地图的软件，对于海洋遥感的研究有用。(m_map is written by Canadian scholars which can be used to draw a map in matlab programming environment. This software is very useful especially for ocean science research.)

数值计算，能够计算方程组，矩阵，能够自己输入数据进行计算(Numerical calculation, to calculate equations, matrices, to make their own input data calculation)

说明：  电力系统潮流程序，用matlab编程的的。潮流计算是电力系统运行分析和规划设计中最常用的工具，电力系统潮流计算问题在数学上是求解一组多元非线性方程，迭代的收敛性是实用者关心的技术焦点。(Power Flow procedures, with the matlab programming. Flow calculation is the electric power system operation analysis and planning and designing the most commonly used tools, electric power system power flow calculation problem solving in mathematics is a set of multiple non-linear equations, iterative convergence is a practical technology were the focus of concern.)

著名的cox数字水印算法源代码，使用matlab编写，很有用噢！(famous cox digital watermarking algorithm source code, the use of Matlab prepared very useful Oh!)

Plots 3 dimensional plot of a sinc wave

Even though the RAND functions can be useful for generating uniform random numbers, most of the time we will need to model various non-uniform distributions, such as the Normal, Lognormal, Exponential, Gama, and others. In fact, the Uniform distribution arises in a very limited number of applications, so the chances are our worksheet models will rarely deal with this distribution