matrixcon_im

feature selection from iris data set it will use statistical methods and get the best set of features then use graphs to classify the data

线性预测LSM预测器，可以完成对信号的预测功能(adaptive linear prediction)

空间计量 elhorst_model（带中文解释）(Spatial metrology elhorst_model (with Chinese interpretation))

这是一本介绍MATLAB的教程，里面包含教程中所涉及到的所有源码。(Introduction This is a MATLAB-tutorial, which contains tutorial involved in all the source code.)

说明：  matlab微分方程中的延迟问题处理代码(matlab differential delays in the processing code)

Longitudinal Redundancy Check (LRC) for Modbus PLC Controllers using ASCII

基于matlab开发环境，编写了边缘检测的图形识别小程序。用于圆形标点。要求标点为白底黑圆。适合初学者理解图形识别的原理。(Based on the matlab platform，we compile the short program to realize the detection of edge detection algorithm 。For the laymen，it maybe useful。)

这个源代码包是用来处理高光谱数据的matlab软件包，非常有用(This source code package is a matlab software package for processing hyperspectral data, very useful)

不错的GM_EM代码。用于聚类分析等方面。( GM_EM- fit a Gaussian mixture model to N points located in n-dimensional space. Note: This function requires the Statistical Toolbox and, if you wish to plot (for k = 2), the function error_ellipse Elementary usage: GM_EM(X,k)- fit a GMM to X, where X is N x n and k is the number of clusters. Algorithm follows steps outlined in Bishop (2009) Pattern Recognition and Machine Learning , Chapter 9. Additional inputs: bn_noise- allow for uniform background noise term ( T or F , default T ). If T , relevant classification uses the (k+1)th cluster reps- number of repetitions with different initial conditions (default = 10). Note: only the best fit (in a likelihood sense) is returned. max_iters- maximum iteration number for EM algorithm (default = 100) tol- tolerance value (default = 0.01) Outputs idx- classification/labelling of data in X mu- GM centres)

对不同区域进行断面分析，并让图片生成在一张图上(Cross-section analysis for different areas and let the picture generated a map)