A-surface-chart

AR过程的线性建模与功率谱估计，计算其自相关序列的估计，利用所估计的自相关值和Yule-Walker法(自相关法)，估计系数值。(The linear AR process modeling and power spectrum estimation, calculation of the estimated autocorrelation sequence, using the estimated autocorrelation values and Yule-Walker method (autocorrelation method), the estimated coefficient.)

the code fo numerical methode for cfd.

to read the image and crop the specified area to convert RGB image next to convert gray scale image to find the histogram equalization

无线传感器网络与matlab的结合，用来进行仿真，有助于wsn的学习(Matlab wireless sensor network and the combination used for simulation, the study will help wsn)

这是一个EEMD 分解的程序，可以用在故障诊断中，可以运行(This is a EEMD decomposition program that can be used in fault diagnosis, you can run)

能对压缩感知中的稀疏度未知的信号精确的重建，重建误差小，经本人调试，完全正确(Capable of compressed sensing signals unknown sparsity accurate reconstruction, reconstruction error is small, after I debug, completely correct)

16 mpsk vs qask comparison of two techniques in matlab code

matlab中噪声模型，包括测试程序，来自MIT实验室(matlab noise models, including testing procedures, from the MIT Laboratory)

在matlab环境下编写的路面激励程序，可改变车速，对应生成相应长度的时间序列，可作为四分之一车的路面激励(In the matlab environment prepared pavement incentive program, you can change the speed, the time sequence of the corresponding length of the corresponding generation, road excitation as a fourth car)

为实现合成孔径雷达（SAR）图像分类算法的测试与评估，将VC/Matlab 混合编程技术应用到SAR 图像分类平台开发中，分析与 比较了4 种VC/Matlab 混合编程方法及各自优缺点，并着重研究了基于组件对象模型（COM）的VC/Matlab 混合编程方法。使用Matlab COM 编译器创建了SAR 图像分类算法组件，在VC 中调用其导出的接口函数。在此基础上，完成了SAR 图像分类平台的实例开发且 可脱离Matlab 环境运行。实验结果表明，该方法较好地发挥了VC 与Matlab 各自的优势，提高了SAR 图像分类平台开发的效率。(In order to test synthetic aperture radar （SAR） image classification algorithm，VC/Matlab mixed programming technology was used in SAR image classification platform development. Four VC/Matlab mixed programming methods were introduced and analyzed. Comparing with other three methods，the method based on component object model （COM） was studied particularly. SAR image classification algorithm component was created by Matlab COM complier，and its interface function could be invocated with VC. Using this method，a SAR image classification platform was realized. The platform could run without Matlab. The experimental result shows a good combination of VC and Matlab. So，developing efficiency could be enhanced a lot.)