yichuanheliziqun

对回波信号进行傅里叶变化,进而提取出距离信息(Performing Fourier transform on echo signals to extract distance information)

The function takes at least three input arguments (function, its derivative, and an initial guess). After iterations, it gives the root of the function. The fourth input argument is to change the stopping criteria.

16qam的mimo系统信道估计误码率比较，方法是盲估计(Blind estimation of the 16QAM MIMO system channel estimation error rate comparison)

闭包传递法的一个函数以及一个求最大生成树的函数,用于模糊聚类分析(matlab)(Closure of the transfer method for a function and a function of the maximum spanning tree for the fuzzy cluster analysis (matlab))

NOISE SOURCE SPECTRUM LOCATE

matlab课程教材上的所有代码，罗小巧老师的matlab(All course materials on the matlab code matlab Luo small teacher)

main document of TV inpainting harmonic inpainting

针对六自由度机器人关节运动强耦合难分析的问题,开发了可视化机器人仿真平台。该平台以KLD-600型六自由度教学机器人为研究对象,利用MATLAB集成仿真环境,分别实现了机器人正逆运动学计算、机器人点动和联动操作的动画演示等功能,且所有功能以图形用户界面的形式进行调用。该仿真平台可作为机器人教学和科研的仿真工具。(Six degrees of freedom robot joint motion for strong coupling analysis of the problem difficult to develop a visual simulation platform robot. The platform KLD-600-type robot teaching six degrees of freedom for the study, an integrated simulation environment using MATLAB, respectively, to achieve the inverse kinematics of robot is calculated, and the linkage to move the robot animation operations and other functions, and all functions to the form of a graphical user interface calls. The robotic simulation platform can be used as teaching and research simulation tool.)

直流电机调速系统仿真，建立模型，系统仿真，画出仿真曲线(DC motor speed control system simulation, modeling, system simulation, simulation curve drawn)

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations