adapt

it s MATLAB implementation of SPIHT algorithm

中文名称：主成分分析 英文名称：principal component analysis 定义：一种统计方法，它对多变量表示数据点集合寻找尽可能少的正交矢量表征数据信息特征。 (Chinese name: Principal component analysis of the English name: principal component analysis defined: a statistical approach, where the variable represents the collection of data points to find the lowest possible number of orthogonal vector characterization data characteristics.)

this is a simulation of the problem random walk , coded in c

for beginers who to learn matlab

matlab的基础知识 适合刚接触该软件的使用者(matlab basic knowledge for users of the software刚接触)

Matlab的数学建模工具箱，内含大量源码，参加数学建模竞赛的重要工具！(Matlab mathematical modeling toolbox, containing a large number of source code, to participate in an important tool for mathematical modeling contest!)

Menu driven GUI for creating many graph types(Menu driven GUI for creating many graph typ es)

matlab常用程序的源代码，以及演示(matlab source code for common procedures, and presentation)

计算矩阵的解，是一种雅克比迭代，应用此程序可以很快的计算矩阵的解。(Computing solution matrix is a Jacobi iteration, the application of this procedure can quickly calculate the matrix solution.)

全极化SAR图像分类算法实现代码：FcenterF方法(Polarimetric SAR image classification algorithm code: FcenterF method)