Using_Matlab_Simulink1

huffman source coding

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.)

matlab中实现直方图均衡化，图像必须是灰度图像，真彩色要转化为灰度图才能正确处理。(matlab histogram equalization, the image must be grayscale images, true color to be converted to grayscale to be processed correctly.)

生物中关于复杂网络拓扑性分析中的聚类系数，使用MATLAB对矩阵进行计算(Creatures of complex network topology analysis, the clustering coefficient, using MATLAB to matrix to calculate)

toolbox 4 的说明文件,对新手可能有用 。(toolbox 4 describe)

本资源中包含了在matlab环境中常用的基本算法程序，其中也有大量的例子进行说明。(This resource contains the environment in matlab basic algorithm commonly used procedures, which also has a large number of examples will be described.)

便于开发Matlab，可以用来安装最新的matlab(Facilitate the development of Matlab can be used to install the latest matlab)

Matlab工具箱应用,与很多工具箱的介绍，包括图片的处理。(Matlab toolbox application toolbox with many presentations, including image processing)

在多个特征中选取敏感特征，可以降低特征集的维数，提高分类准确率(Select the sensitive feature in multiple characteristics, can reduce the dimension of feature set, improving the classification accuracy )

e-collaboration on Asia Pallet Pool System