Effect-of-channel-error

衡虚警检测的程序，不敢独享，与大家分享！希望对大家有帮助(Value false alarm detection procedures, not exclusive, to share with you! We want to help)

it is an example for matlab in electrical applications

雷达天线方向图仿真，非常简单实用。。。。。。。。。(Radar antenna pattern simulation, a very simple and practical)

基于欧式距离的KNN分类方法,本代码只适用于将数据分为三类。类数更多或更少需要简单的调整。(KNN classification method based on Euclidean distance)

说明：  研究碳纳米管的热输运，其中输运系数最重要，此程序的功能就是计算透射系数(Study the thermal transport of carbon nanotubes, in which the most important transport coefficients, this procedure is the calculation of the function of transmission coefficient)

matlab的命令大全，对于matlab命令英文解释不习惯的人，用这个很方便，是一本很不错的入门书籍。(matlab learning books, use for matlab is not very understanding person, with this very convenient, is a very good master entry plus books.)

可以实现直角坐标系下的牛顿拉夫逊算法，适合于潮流计算(Cartesian coordinate system can achieve the Newton Raphson method, suitable for power flow calculation)

用matlab编写程序计算3机9节点算例系统的潮流及三相短路电流。(The program is written in matlab to calculate the power flow and three-phase short-circuit current of the 3-machine 9-node example system.)

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. (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. )

QAM的matlab源代码，比较详细(QAM the matlab source code, a more detailed)