PCA

利用MCMC来取柯西分布的随机数，使用的是M-H采样。(MCMC to take advantage of the Cauchy distribution random number, using MH sampling.)

fem_matlab有许多基本程序，解答各种微分方程，这些都是在FEM中可能用到的。(fem_matlab There are many basic procedures, to answer a variety of differential equations, which are in the FEM may be used.)

合成孔径雷达SAR成像仿真Matlab程序,对初始学者有一定的作用(Synthetic aperture radar SAR imaging simulation Matlab procedures, the initial and scholars have produced a definite effect)

修改Jean-Yves Bouguet的Camera Calibration Toolbox for Matlab标定工具箱添加提取角点畸变参数调整GUI，以GUI方式调整输入一阶镜头畸变提取角点，省去反复而累人的手动输入数字参数的过程，内附使用说明和介绍(Modify Jean-Yves Bouguet Camera Calibration Toolbox for Matlab the calibration toolbox add extract corner distortion parameter adjustments GUI to GUI way to adjust the input first-order lens distortion to extract corner, eliminating the need for repeated and tiring process manually enter numerical parameters, included with the instructions for use and the introduction)

B-Spline Surface Least-Squares Fitting of both Positions and Normals.

array stack 学习代码，帮助大家学习(array stack study code)

Jacobi迭 代 法, 用于方程求根 matlab(Jacobi Iterative)

特徵粹取（feature extraction）是特徵選取（feature selection）的延伸，簡單地說，我們希望將資料群由高維度的空間中投影到低維度的空間，因此，我們必須找出一組基底向量（base）來進行線性座標轉換，使得轉換後的座標，能夠符合某一些特性。 我們可以將特徵粹取分成「包含類別資訊」和「不包含類別資訊」兩大類。包含類別資訊指的是我們已經知道哪些資料分別歸屬於哪一類；而不包含類別資訊的特徵粹取則適用於我們不知道手上的資料點分別該歸屬於哪一類，甚至連該劃分成幾類都不知道的情況。對於這兩大類資料，可以分述如下： 對於「不包含類別資訊」的資料，我們通常使用「主要分量分析」（principal component analysis），簡稱 PCA。 (Cuiqu features (feature extraction) is feature selection (feature selection) extension, simply put, we want to base the projection data the high-dimensional space to low-dimensional space, so we have to find a set of basis vectors ( base) to the linear coordinate conversion, so that after the coordinate conversion, can meet a number of features. We can feature Cuiqu into " category contains information" and " does not contain a category of information," two categories. Contains categories of information refers to what we already know what kind of information are attributed to Cuiqu features include categories of information are not applicable to information we do not know the points are in the hands of the home in which category, and even that is divided into several class do not know the situation. For these two categories of information, can be divided as follows: For information " does not include the categories of information" , we usually use the " )

LMS滤波算法，分别对锯齿波、方波、正弦波进行了滤波，并将滤波前后的信号进行了对比，很好的恢复出了真实信号。(LMS filter algorithm. The sawtooth wave, square wave, sine wave are filtered, and the signals are contrasted before and after filtering. The real signals are all well recoveried by this algorithm.)

Kalman滤波在状态估计中的matlab编程，Kalman滤波是状态估计中比较常用的方法，可用于连续系统的状态估计(Kalman filter state estimation in the matlab programming, Kalman filter is more commonly used in state estimation method, can be used for continuous system state estimation )