set_up_a_new_matrix

有限元程序，附有输入文件，使用一般的矩阵存储方式和高斯消去法，供入门学习使用(Matlab Program for FEA)

LNMF- local non-negative matrix factorization, for face recognition.

这是一个基于电力系统九节点的潮流计算的软件包(This is a power system based on nine nodes of the package flow calculation)

AWGN Channel simulation with hamming coding. Modulation scheme is BPSK. BER curve is provided. (AWGN Channel simulation with hamming coding. Modulation scheme is BPSK. BER curve is provided.)

matlab基于最小错误率的贝叶斯分类器设计(Bayesian classifier design matlab minimum error rate)

Exellent Introduction to Statistics Toolbox 对matlab Statistics Toolbox的非常棒的demo (Exellent Introduction to Statistics Toolbox demo/M-Files: closeDTool.m Force close DFITTOOL (without confirmation dialog) createCarDatabase.m Creates dataset array from Excel file and converts appropriate variables to categorical arrays FuelEconomyAnalysis.m Main analysis script for publishing loadData.m Load all data in directory and create a single dataset modelMPG.m Creates model for MPG based on filter parameters myDistFit.m Distribution fit for MPG (auto-generated, not used in demo) myPlot.m Custom plot for plotting model MPG vs. actual MPG simMPG.m Simulate the model with parameters demo/Excel (.xls) Files: 00dat.xls Fuel economy data for the year 2000 01dat.xls Fuel economy data for the year 2001 02dat.xls Fuel economy data for the year 2002 03dat.xls Fuel economy data for)

说明：  （1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 ((1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.)

this is a simple illustration of a bang bang controller...

二维云模型，matlab脚本编写，点开即可运行，效果很好(Two dimensional cloud model, matlab scripting, click open can run, the effect is very good)

我自己编写的基于遗传算法的一维最大熵KSW阈值分割代码。(I have written the one-dimensional maximum entropy threshold segmentation based on genetic algorithm KSW code.)