session5

说明：  用MATLAB实现的俄罗斯方块 M文件

本程序是一个读取多通道数据的例子（逐字读取或整行读取）。(this program is a multi-channel data reading examples (verbatim read or read the entire trip).)

Power flow or load-flow studies are important for planning future expansion of power systems as well as in determining the best operation of existing systems.

GMSK的调制解调算法，码长为8的信源长度，注释很清楚(modulation and demodulation of GMSK)

主要介绍配电网络合环模型的建立思路与算法研究(Closed Loop Distribution Network Model and Algorithm)

同步MIMO-OFDM系统,分为SNR=10和SNR=20两种参数进行仿真。MATLAB程序。(Synchronous MIMO-OFDM system, into SNR = 10 SNR = 20 and two kinds of parameters for simulation. MATLAB.)

说明：  这个是MATLAB 中 simulink 自己搭建的仿真模型，适合入门及相对光伏模型进行一定了解的同学(This is a simulation model built by Simulink in MATLAB. It is suitable for students who have a certain understanding of the entry-level and relative photovoltaic models.)

matlab中的混合编程及各类接口的使用实例。包括notebook,excel,word,mat,dll,color map,Implicit function，debugging等多个方面的多个实例。(matlab Mixed programming and examples of the use of various types of interfaces. Include multiple instances of multiple aspects of the notebook, excel, word, mat, dll, color map, Implicit function, debugging, etc.)

计算循环平稳3阶统计量的程序，自己编的，希望有用(Calculation 3-order statistics of cyclostationary process, their own series, and hope that useful)

《数字图像处理(MATLAB版)》是把图像处理基础理论论述与软件实践方法相结合的第一本书，它集成了冈萨雷斯和伍兹所著的《数字图像处理》一书中的重要内容和MathWorks公司的图像处理工具箱。本书的特色在于它重点强调了怎样通过开发新代码来增强这些软件工具。本书在介绍MATLAB编程基础知识之后，讲述了图像处理的主要内容，具体包括亮度变换、线性和非线性空间滤波、频率域滤波、图像复原与配准、彩色图像处理、小波、图像数据压缩、形态学图像处理、图像分割、区域和边界表示与描述以及对象识别等。(Digital image processing (the MATLAB Version) " is the first book of the combination exposition of the basic theory of image processing software practices, integrated Gonzalez and Woods book" Digital Image Processing " book of important content and MathWorks Image Processing Toolbox. The features of this book lies in its emphasis on how to develop new code to enhance these software tools. Introducing MATLAB programming basics, the book tells the story of the main contents of the image processing, including brightness transform, linear and nonlinear spatial filtering, frequency domain filtering, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition.)