lyapunov

说明：  this program for SMIB with statcom to damp power system stabil ity

Localization and mapping algorithm with Information Filter. Alternative to slam.

数字信号处理，差分方程卷积及其实现与处理。(Differential equation)

这是我们第一次实习的MATLAB的答案，希望对大家有所帮助，呵呵，你们也认为呢？希望我们共同建设好这个网站，我们需要她！(This is the first time we attachment MATLAB answer, and I hope to help you, Oh, you think? We hope to build a good web site, we need her!)

说明：  很好的源码，蚁群算法解决PID，值得一看(A good source, ant colony algorithm to solve PID, worth a visit)

此段代码实现了一个点机器人的避碰功能，具有良好的实现界面。(This code implements collision avoidance function of point robot , and there s a good interface.)

this package contain a function generate a barker code sequence which is used in phase coded pulse compression performed in the second matlab file

将一个m文件转成c /cpp文件并在VC中进行编译。这种方法有个烦人的地方，每次你都需要把matlab生成的一 大堆c和h文件考到vc中，比如我读入一副图片先做膨胀，再腐蚀，再进行小波变换，最后 显示。这样一个程序会生成大概150多个文件，每次都要拷贝这些文件很不方便。我试着用 了另外一种方法，可以简化这些工作。那就是不生成cpp文件交给VC去编译，而是直接在m atlab中生成一个dll交给VC去链接即可。这样无论matlab生成多少文件，都只需要拷贝三 个文件即可。 (m to a document conversion c/cpp files and compile VC. Such a method is a nagging place every time you need Matlab has generated a lot of c and h vc document examination, for example, I read a photo, first expansion, and corrosion, further wavelet transform, the last show. Such a procedure will probably generate more than 150 documents, each copy of these documents must be very inconvenient. I tried another kind of approach can simplify their work. It is not generating cpp documents to the VC to compile, but m atlab directly in the formation of a dll to the VC to link. No matter how many documents generated Matlab, only three need to copy documents.)

雷达杂波仿真程序，仿真雷达瑞利分布、高斯分布、K分布等(Radar clutter simulation program, simulation radar, Rayleigh distribution, Gauss distribution, K distribution, etc.)

非常适合计算机视觉方面的研究使用,小波包分析提取振动信号中的特征频率，用MATLAB实现动态聚类或迭代自组织数据分析。( Very suitable for the study using computer vision, Wavelet packet analysis to extract vibration signal characteristic frequency, Using MATLAB dynamic clustering or iterative self-organizing data analysis.)