lianxuchaoliu

这是用来解常微分方程的原代码，是我自己编的哦。(This is the solution of ordinary differential equations for the original code, is a series of my own Oh.)

差分检测的程序，包括一个调制程序，以及两个检测程序：一个是比较复杂但是易于理解的，一个是简便方法。对于理解调制解调的初学者来说，很有帮助(Differential detection procedures, including a modulation process, as well as two testing procedures: one is more complicated but easy-to-understand, one is the easy way. For understanding the modulation and demodulation for beginners, very helpful)

人脸识别代码，已经验证通过，matlab写的。该程序有两部分，一部分快速识别，一部分是精确识别(Face recognition code has been verified through, matlab written. The program has two parts, rapid identification, part accurate identification)

这是一本信号与系统方向的圣经，我这里上传上来，希望对大家有用。(It is a bible in the aspect of signal and system. I upload it and want to share with people who need it and hope to help him/her.)

提供一种求解最优哈密尔顿的算法---三边交换调整法，要求在运行jiaohuan3（三交换法）之前，给定邻接矩阵C和节点个数N，结果路径存放于R中。 bianquan.m文件给出了一个参数实例，可在命令窗口中输入bianquan,得到邻接矩阵C和节点个数N以及一个任意给出的路径R,，回车后再输入jiaohuan3,得到了最优解。 由于没有经过大量的实验，又是近似算法，对于网络比较复杂的情况，可以尝试多运行几次jiaohuan3,看是否能到进一步的优化结果。 (Provide an optimal algorithm Hamilton- trilateral exchange Adjustment Act, requiring running jiaohuan3 (c exchange) before a given adjacency matrix C and the node number N, the results of the path stored in the R in. bianquan.m document gives examples of a parameter can be in the command window, type bianquan, be the adjacency matrix C and the node number N and an arbitrary given path R,, carriage return after the input jiaohuan3, have been the optimal solution . After the absence of a large number of experiments, it is approximate algorithm, for more complex network situations, you can try to run several jiaohuan3, can look to further optimize the results.)

modelling and simulation rlc circuit

Read Oscilloscope waveform file

Levenberg-Marquardt优化单应性矩阵，也可经过修改用于相机标定参数的优化(Levenberg-Marquardt optimization homography can also be modified for optimization of camera calibration parameters)

In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The locomotion control structure is based on integration of kinematics and dynamics model of mobile robot base. The proposed Control scheme and Fuzzy Neural Algorithm could be useful for building an autonomous non-destructive testing system based on wheeled mobile robot. Fuzzy Neural Network-Rule base, is optimized using Genetic Algorithm. Simulations are done using Matlab software. Key words:Mobile Robot, Conventional, Fuzzy Logic, Neural Network, Genetic Algorithm, trajectory tracking,

chaoslyapunov指数程序是基于非线性三维系统所得，具体模型见东西部能源供需系统文章里，可以得到此系统混沌，因为李亚普诺夫指数有大于零的情形()