isodata

to identify round objects depend on camera and background difference

Circular Delay Line q = cdelay2(D, q) q = 0, 1, ..., D = circular index pointing to w(q+1) q = 0, 1, ..., D = circular index pointing to w(q+1) based on cdelay2.c

intersection_lines(A, B) between two lines

LMS算法函数 实现LMS算法定义，方便之后调用(least mean square algorithm)

使用robotic toolbox 可自行定义1至7自由度的机器人，并显示和移动 可以输入任意机器人参数，注意sigma=0是旋转关节，sigma=1为平移关节(Use robotic toolbox definable 1-7 DOF robot, and display and mobile robot can enter any parameters, note sigma = 0 is rotating joints, sigma = 1 for translational joints)

希尔伯特黄变换的重构改进算法matlab源程序(Hilbert-Huang Transform Reconstruction Algorithm matlab source)

基于连续hopfield网络的TSP问题解决方法(Based on continuous hopfield networks TSP problem solving)

说明：  现代控制理论实验课 matlab倒立摆仿真代码和动画演示 使用matlab的倒立摆建模和仿真设计 使用了状态反馈控制器设计闭环反馈控制系统 实现了动画演示 文档说明：（中文字符显示某些问题，后续更改，系统的simulink构建很简单，这里没有注意到） 系统分析文件夹 .m输入为加速度的情况下的开环系统.m文件 F .m输入为力开环系统的m文件 State_FeedBack_controller.m输入为加速度的闭环系统的m文件 动画演示文件夹 sys.m生成整个控制系统的s函数 pendan.m显示动画的s函数 dh.mdl最终的动画倒立摆simulink的建造(Modern control theory experiment course Matlab inverted pendulum simulation code and animation demonstration Modeling and simulation design of inverted pendulum using MATLAB The closed-loop feedback control system is designed by using the state feedback controller The animation demonstration is realized Document description: (some problems of Chinese character display, subsequent changes, the system's Simulink construction is very simple, not noticed here) System analysis folder Open loop system. M file with. M input as acceleration The input force of the open loop F.M system State_ FeedBack_ The controller. M input is the m file of the closed loop system with acceleration Animation folder Sys. M generates the s function of the whole control system Pendan. M s function for displaying animation dh.mdl The construction of the final animation inverted pendulum simulink)

library which computes eigenvalues and eigenvectors of large sparse matrices, accessible via the built-in EIGS command

this is improved prony method that is very strengs for noisy signal