Fast_HLS_color_space_conversion

基于马尔科夫链概念，3状态概率转移矩的matlab实现(Based on the concept of Markov chain, the realization of the 3 stats matrix s transfer probability matrix in matlab)

4.面阵中二维角度估计 Unitary -ESPRIT算法MATLAB程序(MATLAB Unitary-ESPRIT algorithm)

基于兴趣点的对互信息度的图像匹配算法，介绍详细(Based on the mutual information of the image matching algorithm point of interest, Detailed)

说明：  应用于多峰值MPPT问题，采用PSO寻找最大功率点，具体实现在S-function中，仿真时建议找一个内存大的电脑用连续仿真，离散在这种仿真时容易出问题。自行读程序只需输入光伏电压电流即可实现，仿真多峰值问题时光伏板注意反并联二极管，输出为占空比，boost、隔离boost都可以使用(For multi-peak MPPT problem, PSO is used to find the maximum power point, which is realized in S-function. It is suggested that a computer with large memory be used for continuous simulation. Discrete simulation is prone to problems. The self-reading program can be realized only by inputting photovoltaic voltage and current. In the simulation of multi-peak problem, the photovoltaic board pays attention to the anti-parallel diode.)

绘图，其中包含绘图的基本Matlab的源程序，是M文件，还有PPT的相关解释(Drawing, which contains the basic drawing of Matlab source code, is M-file, as well as the relevant explanation PPT)

迭代学习控制的MATLAB语言程序，实现迭代开控制。反复迭代30次，设置步长(Iterative Learning Control of the MATLAB language program, to achieve iterative open control. Iteratively 30 times, set the step size)

对于180度旋转的惯导系统的惯性器件的输出实现位置姿态对准(For output 180 degree rotation of INS inertial devices achieve alignment position and attitude)

GMDH_main为GMDH主函数； variable_Combin为输入层初始变量选为x1,x1^2,x1*x2,x2^2,x2时的输入变量矩阵值 variable_select计算X_train训练输入数据,Y_train训练输出数据,X_test测试输入数据,Y_test测试输出数据 Combin为求变量的两两组合 Sym_Combin为求符号变量的两两组合 PE_AIC求每层各神经元的参数估计W，及训练数据在参数估计后估计的输出out_train，测试数据在参数估计后的估计输出out_test，还有与实际比较的误差平方和PESS， 以及准则值AIC sym_representation求最终的输入输出符号表达式 Criterion_value求准则值 (GMDH_main main function for the GMDH variable_Combin initial variables chosen for the input layer, x1, x1 ^ 2, x1* x2, x2 ^ 2, x2 the value of the input variable matrix calculation X_train variable_select training input data, Y_train training output data, X_test test input data, Y_test for the sake of the test output data Combin pairwise combination of variables for the sake of symbolic variables Sym_Combin pairwise combinations PE_AIC neurons find each parameter estimation of the W, and after the training data is estimated in the estimation of output out_train, test data After the parameter estimates of the output estimated out_test, also compared with the actual sum of squared errors PESS, as well as the final criterion value AIC sym_representation seek the input and output values ​ ​ of symbolic expressions Criterion_value find criteria)

tracking of step trajectory bu wheeled mobile robot

PSCAD中设计的APF有源滤波器的仿真模型(pscad APF)