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这是使用systemgenerator的一个入门程序和范例使用matlab和system generator共同实现，并配有教学文档，清晰简单，易懂(This is an entry using systemgenerator procedures and examples using matlab and the system generator together to achieve, and with a teaching document, clear and simple and easy to understand)

关于matlab的入门教程，很有用的，教你如何使用matlab，这是我们老师上课的讲义，我要的，呵呵。(Introductory tutorial on matlab, useful, and teach you how to use Matlab, this is our teacher in the class handouts, I want to, huh, huh.)

说明：  利用HFSS仿出来S11，S21，导出S11,S21的复数形式，用MATlab调用，就可以计算出介电常数和磁导率(By S11, S21 calculate dielectric constant and magnetic conductivity )

Restricted Boltzmann Machine with binary visible and binary hidden units.

三电平逆变器正弦SPWM控制策略的仿真研究(Three level inverter with sinusoidal SPWM control strategy simulation)

该文件是关于采样和量化的一些资料，对于加深采样量化概念的理解具有一定的参考价值。(The document is on the sampling and quantification of some of the information, for better understanding of the concept of sampling to quantify a certain reference value.)

交织编码是一种信道改造技术，它通过信号设计将一个原来属于突发差错的有记忆信道改造为基本上是独立差错的随机无记忆信道。交织编码作为克服衰落信道中突发性干扰的有效方法，通常和其它用于纠正无记忆独立差错的信道编码相结合构成级联码，广泛应用于当代移动通信。(intertwined coding is a channel modification techniques, it will be designed to signal through an unexpected error originally belonged to the memory channel transformation is essentially independent of the random errors unmarked Recalling Channel. Coding intertwined as to overcome sudden fading channel interference effective way and the other is usually used to correct errors without memory of the independent channel coding combined constitute cascade code, Contemporary widely used mobile communications.)

电池全寿命加速老化试验的采集数据。在不同温度下的充电和放电下完成。数据格式为matlab的mat，文件里面有详细的实验数据说明，希望对研究电池寿命预测和诊断的同志有帮助。(Battery life-accelerated aging test data collection. At different temperatures to complete the charging and discharging. The data format is the matlab mat, which has detailed documentation of the experimental data shows that the hope of battery life prediction and diagnosis to help comrades.)

配电潮流计算，并包括IEEE的数据,配电潮流计算，并包括IEEE的数据,(Distribution power flow calculation, and includes data of the IEEE)

EM算法在神经网络中的应用，可以用来进行视频数据分类。(In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.)