GNLS_Uebung1_MATLAB

该程序涉及了一阶系统、二阶系统的阶跃响应下的系统辨识方法。(The procedure involves first-order system, second-order system step response of system identification methods.)

基于SVR的线性系统的辨识和校验，辨识信号采用幅值为2的随机信号(Linear systems based on SVR identification and validation, identification signal using random signal amplitude of 2)

omp 算法 你可以通过这个算法完成图像恢复，效果好，恢复时间短，误码率低，解决凸优化算法复杂度高的缺点convex optimization algorithm with high complexity(omp algorithm you can accomplish by this algorithm for image restoration, good effect, shorter recovery time, error rate, to solve the shortcomings of convex optimization algorithm with high complexity)

Matlab Training Book

实现数字网络模拟过程的matlab程序。在matlab上调试通过(Digital network simulation matlab process procedures. Debugging through the matlab)

说明：  利用MATLAB编写先进ＰＩＤ控制程序，使得控制效果更好，达到良好动态效果(MATLAB prepared using advanced PID control procedures, making better control to achieve good dynamic effects)

脑电信号提取及特征分析 生物医学工程及信号处理专业可以看看(EEG feature extraction and analysis )

folyd算法的matlab，很好用~非常适合在图论中的应用~(folyd algorithm matlab, with very good ~ very suitable for application in Graph Theory ~)

此程序为基于abaqus开发的新单元，用于模拟地震等动力过程中水与结构相互作用，用于在结构表面施加附加质量(This program based on abaqus and development of new unit, used to simulate the interaction between waterand structure during the process of earthquake, which is used to calculate the mass property on the structure surface)

利用Matlab提取图片中的数据 从事科研或者工程的人员在文档撰写过程中，常需要将文献中的曲线与自己的结果对比，为获取原始数据，一种常用的办法是手动描点，即将原始曲线放大然后打印出来，选取一定数量的点，读出其横纵坐标，然后重绘。对于较为平坦的曲线，这种方法当然可行，但当曲线数量增加，曲线变化复杂，这种方法工作量可想而知。前段时间由于原始数据丢失，仅剩几十幅图片，本人尝试过手动描点，经历几个小时奋战，实在无法继续，索性转向matlab，借助其强大的数据处理能力，编写了两个GUI的小软件image2data、data_poly提取数据，如今大功告成，遂于大家分享。(Using Matlab to extract picture data in scientific research or engineering personnel in the process of writing documentation, often need to curve in the literature comparing the results to obtain the original data, a common approach is described in the manual, is about the original amplification curve and then print it out, select a certain number of points, read out its horizontal and vertical coordinates, and then redraw. For a flatter curve, this approach is of course possible, but when the increase in the number of curves, the complexity of the curve, this method can imagine the workload. Some time ago due to the loss of original data, except for the dozens of pictures, I tried manually tracing point, after several hours of fighting, I can not continue to simply turn to Matlab, with its powerful data processing capabilities, the preparation of two GUI software image2data, data_poly extract data, and now you' re done, then share with you.)