3x3-neighbor-pixel

利用matlab进行数据拟合，有现成代码和案例数据。(Use of matlab for data fitting, have a ready-made code and case data. )

使用abc坐标系统转换为dq0坐标系统元件实现abc坐标系统转换为dq0坐标系统。(This block performs the abcto dq0 transformation on a set of three-phase signals.)

基于MATLAB数据采集系统的设计与实现(Design and Implementation of Data Acquisition System Based on MATLAB)

Simulink TDSD system

Mimo with Rayleigh channel and Zero Forcing

这个matlab小程序实现了基于11ac射频协议测试中的频谱掩膜比较(This small program to achieve the matlab based on 11 ac rf spectrum mask comparison of protocol testing )

simulink s函数，用C写的CRC校验和解校验的程序，原理简单，但是可以用来做学习simulink的好例子。(simulink s function, using C to write the CRC checksum checksum reconciliation procedures, the principle of simple, but can be used to make a good example of learning simulink.)

％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)

说明：  RBF(径向基神经网络)用于预测，本文讲解几种RBF神经网络。(RBF (RBF neural network) is used to predict, the paper explains several RBF neural network.)

This toolbox was written for my own education and to give me a chance to explore the models a bit. It is NOT intended for any serious applications and it does not NOT do many of things you would want a mature implementation to do, like leaf pruning. If you wish to use a strong implementation I recommend Scikit Learn / Python. For Matlab I do not really have a recommendation.