MIMO OFDM 使用 MATLAB

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 " )

卡尔曼滤波的代码，运行过，功能是对数据进行平滑处理(Kalman filtering code, run-off, easy to use)

matlabb标准粒子群优化算法。 电力系统的分析和计算中，需要不同网络结构和参数。在应 用这些参数之前，收集和整理工作会花费大量的时间和精力。(matlabb standard particle swarm optimization. Power system analysis and calculation, require different network structures and parameters. Before applying these parameters, the collection and collation will spend a lot of time and effort.)

说明：  数值分析中没经预处理的高斯方法、经SSOR预处理的高斯方法、经多项式预处理的高斯方法matlab程序(Numerical analysis did not pretreated Gauss method, the SSOR pre-Gaussian method, the pre-Gaussian polynomial method matlab program)

CDMA系统Rake接收误比特率模拟程序，链路级各个模块均包括，有详细的程序注释。(Rake receiver CDMA system BER simulation program, each module includes link-level, detailed program notes.)

基于MATLAB开发环境的最简单的棋盘模型(The easiest checkerboard model-based development environment MATLAB)

说明：  用matlab实现汽车牌照识别系统的定位算法(Automobile License Plate Recognition System Location Algorithm)

说明：  用matlab平台实现的拉格朗日插值算法（另附一个插值算法）(Matlab platform with the Lagrange interpolation algorithm (followed by an interpolation algorithm))

非常好的MATLAB教程，当你看完教程后你会发现MATLAB比其它开发语言要简单的多(MATLAB tutorial is very good, when you read the tutorial you will find MATLAB simpler than other development languages ​ ​ to)

介绍了如何利用Mathh的Realtime Workshop代码生成工具将Simulink模型自动转换成C代码的方法-This paper proposes a method of using the RTW (Real-Time Workshop)code generation tool to convert Matlab to the C code．