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因为MATLAB需要用到处理器的数学运算部分(MATLAB默认用的是INTEL的数学处理单元),故需要设置一下BLAS(Basic Linear Algebra Subroutines,就是"基础线性几何子程序"的意思)环境变量. 首先请确认你的MATLAB的文件夹中有如下文件:atlas_Athlon.dll(AMD系列的请用这个)， atlas_P4.dll(P4的用这个)，atlas_PIII.dll(P3的用这个)，atlas_PII.dll(P2的用这个)，这些是对应处理器的数值运算优化文件 } 先找到 $MATLAB7inwin32目录下的atlas_Athlon.dll（AMD系列CPU使用）和atlas_P4.dll（奔4用）文件，放到MCR目录中（随便），然后设置环境变量 变量名：BLAS_VERSION 变量值：D:MCRv70atlas_Athlon.dll(Because the MATLAB mathematical operations need to use some of the processor (MATLAB is used by default INTEL mathematical processing unit), so you need to set BLAS (Basic Linear Algebra Subroutines, is " based on linear geometry subroutine" means) environment variable. First make sure your MATLAB folder the following files: atlas_Athlon.dll (AMD series please use this), atlas_P4.dll (P4' s with this), atlas_PIII.dll (P3' s use this), atlas_PII.dll ( P2, use this), these are the values corresponding to processor operations to optimize file} first find $ MATLAB7 bin win32 directory atlas_Athlon.dll (AMD series CPU use) and atlas_P4.dll (Pentium 4 with) file, put MCR directory (random), and then set the environment variable variable name: BLAS_VERSION variable value: D: MCR v70 atlas_Athlon.dll)

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 " )

编写的EMD分解程序，希望能帮助到需要的人(Preparation of EMD decomposition process, hoping to help people in need)

simulink基础经典教程,适用于工程应用，讲解非常详细。(introduction to simulink with engineering application)

图论相关的算法和应用，是自己数学建模时收集和自己开发的一些程序，值得你学习！(Graph-related algorithms and applications, mathematical modeling their own collection and some of their own development process, it is worth you learn!)

此内容是对多址技术即cdma,fdma,tdma技术的原理详细介绍，然后利用matlab7.0仿真软件进行simulink仿真框图设计，进行仿真实验，对教师教学和学生自学都非常有帮助哦 ！(This content is the multiple access technology that is cdma, fdma, tdma technique detailed introduction, and then use simulation software matlab7.0 simulation simulink block diagram of the design, simulation experiments, the teaching of teachers and students have been very helpful in self-Oh!)

Digital Water Marking of images

This is other m file for research

数值分析是一门比较实用的课程，在数学建模等方面应用广泛，这些代码里面几乎涵盖了全部的数值分析方法。(Numerical analysis is a more practical curriculum, widely used in mathematical modeling, etc., these codes which cover almost all of the numerical analysis method.)

切片干扰。切片干扰是一种新型干扰。该算法仿真了对线性调频的切片干扰。 (Slice interference. Slice interference is a new type of interference. The algorithm is simulated on the slice of linear frequency modulation interference)