ABC

介绍一个稳健性分析工具箱。主要做稳健性主成分、主成分回归、分类。(Our toolbox currently contains implementations of robust methods for location and scale estimation, covariance estimation (FAST-MCD), regression (FAST-LTS, MCD-regression), principal component analysis (RAPCA, ROBPCA), principal component regression (RPCR), partial least squares (RSIMPLS) and classification (RDA). Only a few of these methods will be highlighted in this paper. The toolbox also provides many graphical tools to detect and classify the outliers. The use of these features will be explained and demonstrated through the analysis of some real data sets.)

数学实验，包括高等数学、概率统计、线性代数等的讲解，全部用matlab实现(Mathematical experiment, including advanced mathematics, probability and statistics, linear algebra and so on, all with the realization matlab)

Applied Software Measurements by Jones, this is a very good textbook for software engineering

a classification base on Baysian classifier , I did pca, lda, normalization on features either

程序对遗传算法进行了改进，取得了较好的效果(Application of genetic algorithm was improved, and achieved good results)

本程序为GS算法，基于MATLAB编写，用于恢复光场中的相位信息，在信息光学，生物显微领域有广泛的应用(This procedure for the GS algorithm, based on MATLAB, is used to restore the phase information of the light field, in information optics, biological microscope fields have a wide range of application)

色散介质的FDTD仿真计算，一维辅助微分方法(FDTD )

说明：  该课题为基于MATLAB的bp神经网络的交通标志识别系统，可以识别禁令标志，警示标志，指示标志三种标志，带GUI界面，流程为，输入测试图，训练，定位，分割，识别。可自动识别是三种中的哪一种。定位是采用颜色的方法，分割是几何位置分割，识别bp神经网络。注释详细。(This project is a traffic sign recognition system based on BP neural network of MATLAB. It can recognize three kinds of signs: prohibition sign, warning sign and indication sign. It has GUI interface. The flow is: input test chart, training, positioning, segmentation and recognition. Which of the three can be automatically identified. The location is based on the color method, and the segmentation is based on the geometric position segmentation to recognize the BP neural network. Note details.)

The geodesy aspects of Matlab source geodesy aspects Matlab source would be helpful

Solving an upper triangular system U x = b by back-substitution Solving a lower triangular system L x = b by forward-substitution(backward substitution and forward substitution)