homography

Finite element program for 1D element

SVM using matlab processing

This file includes QPSK mapping function.

程序为威尔逊秩和检验程序，用于进行秩和检验计算的人员参考使用。(The procedure for the Wilson rank sum test procedure is used by the personnel for the rank sum test calculation.)

说明：  matlab SIMULINK Arabic tutorial part 4

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 " )

高精度地形数据处理，位错测量与回复，误差分析(High precision terrain data processing; Displacement measurement and recovery; Error analysis)

凸二次规划原始对偶算法，很有用的，值得收藏！(Two convex quadratic programming primal-dual algorithm, very useful，worth collecting!)

复杂网络社团发现算法Louvain的matlab版本，简单实用，欢迎下载(Louvain complex network of associations discovery algorithm matlab version, simple and practical, welcome to download)

AK_model_and_Learning_by_doing_model matlab code