UCA_LCMV

matlab经典入门教材，从零开始matlab。(matlab classic primer from scratch matlab.)

一些关于数据车牌识别的资料，对你进行车牌的识别程序设计有用(Some information about the data license plate recognition, license plate recognition program is useful for the design)

讲述了频域模板匹配的原理及算法，将图像转到频域进行处理可以提高匹配的精度(About the frequency domain template matching principle and algorithm, the image to the frequency domain processing can improve the matching precision)

说明：  状态空间模型　加强ＭＡＴＬＡＢ学习　很有用的 (state-space model to strengthen MATLAB very useful learning)

Tic-Tac-ToeThis is a very user friendly tic-tac-toe game with three different difficulty levels. Download the zip file tictactoe.zip then extract the contents in to a folder and in MATLAB run tictactoe.m by typing tictactoe at the command line. You can play against a friend or the computer. The difficulty level can be adjusted in the file menu. The expert level promises to give even the best player a challenge!(This is a very user friendly tic-tac-toe game with three different difficulty levels. Download the zip file tictactoe.zip then extract the contents in to a folder and in MATLAB run tictactoe.m by typing tictactoe at the command line. You can play against a friend or the computer. The difficulty level can be adjusted in the file menu. The expert level promises to give even the best player a challenge!)

灰色预测模型 matlab 记得保存为gm1(Grey prediction model matlab remember to save as gm1)

说明：  人脸检测领域经典的Haar人脸检测。使用OpenCV.(Face Detection classic Haar face detection. Use OpenCV.)

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 " )

Ultrasonic NDT for signal processing fault

matlab图形图像处理源程序 实现DWT水印的嵌入和提取 (graphic image processing matlab source code to achieve DWT watermark embedding and extraction)