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CDMA通过MAtlab仿真的各个模块源程序，卷积交织调制解调turbo译码等(Matlab simulation of CDMA through the various modules of source code, Convolutional Interleaver modem, such as turbo decoding)

说明：  MIMO系统设计的毕业论文，主要有联合相关模型的MATLAB仿真(MIMO system design of the thesis, the main MATLAB simulation model of joint-related)

基于卡尔曼滤波的雷达目标跟踪，对运动轨迹进行滤波(Kalman filter-based radar target tracking, trajectory filtering)

MATLAB的一些常用算法，anneal，MLR,PCRUVE,PLSUVE,RUN-TEST，希望对大家的学习有所帮助，(Some common algorithms of MATLAB，anneal，MLR,PCRUVE,PLSUVE,RUN-TEST，hope to learn some help,)

利用JPEG2000标准进行图像压缩和图像解压的Matlab程序(image compression and decompression using JPEG2K)

说明：  模拟游乐场的排队，验证Quickpass系统的可靠性(Simulation of the Queue in a theme park to test the stability of QuickPass system )

matlab教学课件，适用于matlab初学者，能够快速上手并应用！(matlab courseware for Matlab beginners up to speed quickly and apply!)

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 " )

SVPWM异步电机矢量控制模型，适合初学者学习的异步电机矢量控制模型(Vector control model of SVPWM asynchronous motor)

MATLAB经典算法程序，插值与拟合包含PPT讲义，可对照matlab程序进行学习(MATLAB procedures classic algorithm, interpolation and fitting contains PPT handouts can control matlab program to study)