canceler

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.)

这是利用matlab编写的求湖水面积的例程，用到了蒙特卡洛方法，希望有所帮助。(It is written using matlab routine seek the lake area, use the Monte Carlo method, hope help.)

apply dwt2 on image that related with signal processing

说明：  apso求解电力系统经济调度问题，可以得到每个机组的出力，并且含有多个约束条件(APSO can solve the economic dispatch problem of power system and get the output of each unit, which contains many constraints)

data mining k nearest neighbour

灰色预测模型,可以做变形监测预测分析，交通控制和预测分析，金融分析(Gray prediction model, deformation monitoring can do predictive analysis, traffic control, and predictive analysis, financial analysis)

matlab中用于UI6008数据采集卡的数据采集以及输出的程序 使用方便快捷 模拟仿真实现PI控制(for UI6008 data acquisition card for data acquisition and output in matlab program easy to use simulation to achieve the PI control)

自己编写的基于多载频的高频雷达的波束形成matlab程序，包含三个文件：主程序、阵列导向矢量生成函数、添加高斯噪声信号函数。程序可顺利运行。(Multiple frequency carrier beamforming)

MATLAB，紋理分析，利用GLCM來得到Entropy、homogenity、itensity、correletion、IDM、ENRGY...十多種紋理特性(MATLAB, texture analysis using GLCM to get Entropy, homogenity, itensity, correletion, IDM, ENRGY ... more than ten kinds of texture features)

Some algorithms of variable step size LMS adaptive filtering are studied．The VS—LMS algorithm is improved． Another new non-linear function between肛and e(／ t)is established．The theoretic analysis and computer simulation results show that this algorithm converges more quickly than the origina1．Furthermore，better antinoise property is exhibited under Low—SNR environment than the original one．(variable step size of a LMS daptive filtering are studied. The VS-LMS algorithm is improved. Another new non-linear function between anus and e (/ t) is established. The theoretic analysis and computer simulatio n results show that this algorithm converges mo 're quickly than the origina1. Furthermore, better antinoise property is exhibited under L ow- SNR environment than the original one.)