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graphical user interface matlab code

这是一篇关于5自由度机器人建模与仿真的论文，是做机器人仿真方面很好的参考资料(This is the one on the 5-DOF robot modeling and simulation papers are doing a very good reference for robot simulation,)

文章讲述了基于Matlab GUI的新型界面开发方式(This paper describes the new development mode of Matlab interface based on GUI)

matlab中文帮助，对matlab有需求的可以看看(matlab Chinese help, in need of matlab can look at)

matlab simulink implementation and analysis of Three-phase inverter2

已知结构功能函数z 577X1X2-0.5X3X3 ，其中： X1服从正态分布，0.5,0.1 X2服从正态分布，3,0.05 X3服从对数正态分布，30,0.05 采用当量正态化法,响应面法，蒙特卡罗法等并用MATLAB编程实现。(Engineering reliability analysis Equivalent normal distribution method.txt，Monte carlo sampling method directly.txt，Monte-carlo important sampling method.txt，response surface method)

实用FDTD微波模拟传导！！！！！！！！！！！！！！！！！！！(FDTD simulation of microwave transmission utility! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !)

费希尔线性判别分析代码 Find the Fisher linear separator w (a column vector). X is is the training set (X is a matrix. Each row of X is a vector containing the features of a single sample). y is a column vector with the labels of the training set (1 and -1). alg is a number between 1 and 3 that specifies how to find w: alg = 1: w is the generalized eigenvalue of A,B. alg = 2: w is the solution to Bw = (mu_1-mu_2) alg = 3: solve the corresponding regression problem( Find the Fisher linear separator w (a column vector). X is is the training set (X is a matrix. Each row of X is a vector containing the features of a single sample). y is a column vector with the labels of the training set (1 and-1). alg is a number between 1 and 3 that specifies how to find w: alg = 1: w is the generalized eigenvalue of A,B. alg = 2: w is the solution to Bw = (mu_1-mu_2) alg = 3: solve the corresponding regression problem)

计算mie散射过程中的角度散射函数的值，对研究粒子散射有很大帮助(Mie scattering process of calculating the angle of scattering function value, the study of particle scattering are very helpful)

Read video into MATLAB using aviread and alculate the background image . Initialization for Kalman Filtering. Calculate the difference image to extract pixels with more thanthreshold change. and Plot the tracking rectangle after Kalman filtering