CODES2

已经通过编译~其中包括CRC基于Matlab的加法乘法编译以及仿真设计过程(Has passed the compiler)

matlab的很多图像处理的实用程序，如图像区域处理、图像颜色处置等.(matlab image processing a lot of utilities, such as image region processing, image color disposal.)

说明：  基于dds的函数发生器和基于matlab的扫雷游戏(Dds-based function generator and the mine-based game matlab)

学习的一个产物，供大家作为实验的参考，不好的地方见谅(A product of learning for us as a reference experiment, where poor excuse me)

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 " )

我自己写的程序，基于边际粒子滤波的非相关MIMO雷达参数估计，论文可以找我要，已经投稿，比普通的粒子滤波效果要好(RAO-blackweillized particle filter to estimate noncherent MIMO RADAR)

详细对应数字图像处理课本上的小波变换进行了实现 直接可以使用 以及压缩传感对图像处理的应用

本程序是用MATLAB语言编写的卫星定位小软件，可以求得任意点的位置。(The program is written in MATLAB small satellite positioning software, the location of any point can be obtained.)

说明：  现代数字信号处理的经典功率谱估计方法例程,有详细备注解释(A classic of modern digital signal processing power spectrum estimation routines, contains a detailed explanation Remarks)

在图像上指定位置做数字标记，这在图像匹配等实验时很有用。(The image digital mark made on the specified location, this experiment in image matching is useful.)