eigenvalue_vector

一个修改后的PCA进行人脸识别的Matlab代码(A revised PCA for Face Recognition Matlab code)

this is for lmi LMI

简单的费舍尔判别法程序，遵循类内类间分类规则(Fisher Discriminant simple procedure, follow the category classification rules between classes)

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 " )

Histogram Equalization

说明：  基于代理模型，使用matlab运用lhs抽样方法进行可靠性分析(Based on agent model, using MATLAB to analyze reliability with LHS sampling method)

MIMO OFDM 系统中降低峰均功率比技术研究(MIMO OFDM systems reduce PAPR Technology)

说明：  这是一个模型参考自适应关于龙格库塔的m文件(This is a model reference adaptive m-files on the Runge-Kutta)

超经典的ffmepg学习教程及示例代码！~~~(Ultra Classic ffmepg tutorials and sample code)

bessel FUNCTION USING MATLAB CODE