shili2

matlab与C语言混合编程的相关资料以及两个例程(均调试通过),初学者入门使用(matlab and C mixed-language programming, as well as relevant information on the two routines (both debug through), Introduction to the use of beginners)

将一幅多媒体图像根据各个块的不同特性蔡用不同的编码方式(Multimedia will be an image block according to different characteristics of CAI use different encoding)

这个工具箱提供的源代码可以在与Bregmancookbook对应，原文可以这个网址找到 http://math.ucla.edu/ jegilles。是关于Bregman分裂算法的一些例程 这个软件是免费的,应该只用于非营利目的。(This toolbox provides the source code associated with the Bregman Cookbook available at http://math.ucla.edu/~jegilles This software is free and should be used only for nonprofit purposes. Any unauthorized use of this software for industrial or profit-oriented activities is expressively prohibited.)

直接读取振动噪声分析软件bk pulse文件，将测试组和函数组导出来，方便对测试数据进行后处理(his GUI runs Pulse Labshop in the backround (not visible) through an activex server. Exporting measurements using B&K Pulse s software is extremely tedious, requiring much mouse-clicking (setting measurement marks, following measurement marks, etc.). This GUI is relatively straightforward- your .pls file(s), type in the function name you wish to export along with its correpsonding function group, and list all of the measurement names you wish to export. Each function is exported to a single file within a folder that is created of the same name as the .pls file.)

三相STATCOM，实现直流电容的稳压控制，采用Ip/Iq控制方法和电流空间和电压空间的PWM方法控制STATCOM(Three-phase STATCOM, DC capacitor voltage regulator control, Ip/Iq control methods and current space and voltage space PWM control STATCOM)

A simple m-file to compute the experiemntal BER of coded BPSK(A simple m-file to compute the experiemnta l coded BER of BPSK)

article in english for subsytem

matlab实现小波去噪的经典，可供初学小波人学习(matlab implementation of the classical wavelet denoising, wavelet for beginners to learn)

对一个对象进行设计，其中控制器是用文件来设计的哦(The design of an object, one of the controller is designed to document the Oh)

NSGA2仿真实例，可用于神经网络仿真测试(NSGA is a popular non-domination based genetic algorithm for multi- objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter. A modified version, NSGA- II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori. NSGA-II is discussed in detail in this.)