EM_matlab

系统辨识及其MATLAB程序与剖析，非常好的程序，注释很详细，有很大的帮助(MATLAB System Identification and its procedures and analysis, very good procedures, the Notes are detailed, very helpful)

vuvuzela filter matlab programme

窗口移动多项式平滑演示程序。。。二维数据模拟程序(Polynomial smoothing window mobile demo program. . . Two-dimensional data simulation program)

Matlab files of chapter 3 kalman filtering 3 edition of grewal

仿真程序主体部分由c语言完成,改变运行的设定的参数，在相同的信道编码速率下，通过改变误码率，用Matlab软件进行画图，得出在相同编码速率不同误码率下的纠错后误码的比率，接着改变编码速率，重新可以划出另外的两条曲线；(simulation program from the main part of the completion c language, change the operation of the set parameters, the same channel coding rate, by changing the error rate using Matlab software for drawing, reached the same rate of different coding error rate after correction of the error rate, and then change the coding rate, can be re-drawn the other two curves;)

切比雪夫低通原型滤波器的设计元件值的提取和耦合系数的计算。并且给出S21和S11的响应曲线图(Chebyshev low-pass extraction and coupling coefficients calculated prototype filter design element values. S21 and S11, and gives the response graph)

矩阵转换四元数代码 欧拉角转换四元数代码 四元数转换到矩阵代码(The quaternion matrix transformation code Euler angles conversion quaternion code converts quaternion to a matrix code)

级联型逆变器相关的一些资料，希望对大家有用 。(Cascaded Inverter)

主要是串口数据的收发！ 写了一个GUI界面，包括一些常用的控件，文件的读写，出错的简单处理，弹出对话框等 可能还有一些错误，欢迎拍砖！ 调试在matlab7.0.4上通过！(Mainly to send and receive serial data! Wrote a GUI interface, including some commonly used control, file read and write, a simple error handling, pop-up dialog boxes, etc. There may be some mistakes, please Paizhuan! Debugging in matlab7.0.4 adopted!)

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.)