pm2

基于最简单的直接转矩控制的matlab程序框图，经试验，完全可以正常运转(Based on the most simple and direct torque control matlab block diagram, the test, can operate normally)

提取人体运动步态特正，采用BP神经网络进行步态分类识别。(BP network for gait recognition)

一本关于讲解MATLAB最优化设计的书籍 对于学习最优化理论的同学 很有帮助(A book about the interpretation of the MATLAB optimization design Classmate is very helpful for learning optimization theory)

The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform. For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x -[0, 1] for k = 0,1,2 ...,N -1 where N = 2n.( The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform. For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x-[0, 1] for k = 0,1,2 ...,N-1 where N = 2n.)

一种简单的车牌识别的MATLAB程序源码(Simple MATLAB program license plate recognition)

非常不错的QPSK在matlab中的仿真教程，文档中包含相关的所有代码(very good QPSK in the Matlab simulation Guide, the document contains all the related code!)

A tiny app that controls a puppet with a wiimote controller. Uses the wiimotelib and a serial port to communicate the arduino board. The code for the arduino board is in other file.

实现数字信号的QPSK调制，并绘制频谱图(QPSK modulation of digital signal, and map spectrum)

有关DFA和MF-DFA的一些代码，只要你能仔细阅读的话相信总有一个适合您(Some code about DFA and MF-DFA, as long as you can read carefully, then I believe there is always a right for you)

说明：  对一个二阶模型模型进行脉冲响应辨识，并且通过搭建simulink模型取得了两组输入-输出数据，一组是在有高斯噪声的干扰下获得u1-y3，另外一组是在没有高斯噪声的情况下获得的u1-y1，对这两组数据进行基于haar小波基的脉冲响应辨识，与实际模型的脉冲响应相比较（注：三个excel表必须放在matlab/work文件夹下才能运行）(Second-order model to a model of impulse response identification, and achieved through building simulink model for two groups of input- output data, a Gaussian noise in the interference with access to u1-y3, another group in the absence of Gaussian noise of access to the u1-y1, these two sets of data haar Wavelet-based impulse response identification, and the actual model of the impulse response comparison (Note: Three excel table must be on the matlab/work folder to run ))