Cluster_flag

说明：  MPC模型建立的代码，可直接运行，已修改(The code established by MPC model, which can be run directly, has been modified)

说明：  DF程序，可以直接运行仿真，观察以及比较DF性能(DF program, you can directly run the simulation, observation, and performance compared DF)

说明：  通用机器学习及数据挖掘的特征提取及贝叶斯网络程序-通用机器学习及数据挖掘的特征提取及贝叶斯网络程序.(Common machine learning and data mining feature extraction and Bayesian network program- common machine learning and data mining of feature extraction and Bayesian network program.)

China stock data format. fit to programmer

The m file reads the .raw format images and converts it into a matrix in a MATLAB

haarwavelet.it is code for haar wavelet in image prossecing.

用MATLAB实现遗传算法，介绍怎么实现(To achieve genetic algorithms using MATLAB)

非常详细的关于OFDM的信道估计的文章，对于初学者也许会有很大帮助。(Very detailed OFDM channel estimation on the article, there may be very helpful for beginners.)

％ 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)

只是关于MATLAB界面编程的书籍，内涵例题，讲解详细(This is a book about MATLAB programming interface, easy to understand, containing examples code.)