MATLABEngine

说明：  程序使用说明： 1、软件应用平台：Matlab6.5或更高； 2、打开方法： 将文件所在目录设为工作目录，然后打开wavlet.fig,在noise提示框下输入噪声强度，在0-0.1之间（不能为零）。 然后点process按钮，就会显示实验结果，包括原图像，加噪图像，去噪图像的对比以及当前的psnr值。 wavlet.m是程序文件。 程序内容写在在程序的注释里。 阈值的更改没有实现可视化，在源程序中可以改。(Procedure for use: 1, Software Platform: Matlab6.5 or higher 2, open the way: the file directory set the working directory, then open the wavlet.fig, the noise boxes, enter the noise level, in the 0-0.1 between (not zero). Then process the button, it will show the experimental results, including the original image, noise image denoising image contrast and the current psnr value. wavlet.m is the program file. Program content in the program notes written inside. Threshold changes are not visualized in the source program can be changed.)

upqc with model predictive control

图像中的直线检测程序，可以检测图像中的直线，可以设置参数，支持(The linear image detection procedure can detect the linear image, you can set parameters, to support)

matlab程序源码,这个是我和同学一起做的,大家可以参考看看怎么样的,谢谢大家,可以提议供大家学!(Matlab program source code, and this is my classmates together, we can see how information like, Thank you, can be proposed for everyone to learn!)

控制工具箱的一点应用，希望对大家有所帮助，希望大家可以互相交流(toolbox control point applications, we want to help, we can hope that mutual exchanges)

图像增强处理的方法有很多，本程序采用反锐化掩膜法增强图像，并与直方图均衡法增强图像的效果进行对比。(There are alot of methods of Image enhancement processing.this program is based on the Anti sharpen mask method.Then contrast the result with Histogram equalization method. )

时间序列数据分析中的梅林变换工具，包含位置式PID算法、积分分离式PID，是路径规划的实用方法，包括回归分析和概率统计，研究生时的现代信号处理的作业。(Time series data analysis Mellin transform tool, It contains positional PID algorithm, integral separate PID, Is a practical method of path planning, Including regression analysis and probability and statistics, Modern signal processing jobs when the graduate.)

直接序列扩频的matlab程程序源码，希望有用 (Direct Sequence Spread Spectrum Matlab process program source code, I hope useful)

MK检验程序，可广泛应用于气象、水文时间序列分析。(MK inspection procedures, can be widely used in meteorological, hydrological time series analysis.)

this is for qrs detection