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论文题目：基于Matlab无刷直流电机控制系统建模与仿真 为验证控制算法和控制策略的合理性，在 分析无刷直流电机数学模型的基础上，用Matlab建 立了无刷直流电机控制系统的仿真模型，并详细介 绍了控制系统的各个子模块。通过对实例电机的仿 真，给出了仿真结果，证明了该模型的可行性。(To verify the control algorithm and control strategy is reasonable, in the Analysis of brushless DC motor based on the mathematical model, using Matlab to build Li of the brushless DC motor control system simulation model, referred in detail Shao-control system, the various sub-modules. Through the examples of motor imitation True, gives the simulation results prove the feasibility of the model. )

主要介绍了Alamouti空时算法，分别是分析在接收天线和发射天线不同的情况下信道衰落情况(Mainly introduces the Alamouti space-time algorithm,to analyze the channel fading in the case of the diffierent type of the receiving antenna and the transmitting antenna， respectively)

UFLDL教程softmaxt回归章节后面练习的答案，根据书上步骤在源码基础上修改而成(UFLDL tutorial exercises softmaxt return later chapters answer, according to the book steps to modify the source code is made on the basis of)

fem_matlab有许多基本程序，解答各种微分方程，这些都是在FEM中可能用到的。(fem_matlab There are many basic procedures, to answer a variety of differential equations, which are in the FEM may be used.)

平均标准偏差，一个计算用的Matlab小程序，希望大家喜欢(The average standard deviation, a calculation using a small Matlab program, I hope everyone likes)

These are basic examples in MATLAB

matlab关于iradon变换。matlab关于iradon变换。matlab关于iradon变换。(Matlab on the iradon transform.Matlab on the iradon transform.Matlab on the iradon transform.)

深入浅出的介绍matlab一些应用实例，帮助你快速掌握该软件的使用(Some application examples explain profound theories in simple language to introduce MATLAB, used to help you quickly master the software)

This is a code for periodic impusive noise in ofdm based power line communications. It is implemented in matlab.

笔者自行编写的Matlab环境下的人脸识别算法小实验， 采用的是经典的PCA算法，主要内容是采用SVD方法提取出象素空间上的 PCA主分量特征，分类算法上仅是基于最小距离分类 (The author of the Matlab environment to prepare the face recognition algorithm under small experiment using classical PCA algorithm, the main contents of SVD method is used to extract pixel space on the PCA principal component features, the only classification algorithm is based on the minimum distance classifier)