Single_DOF

QPSK的MATLAB仿真,仅供大家学习(QPSK the MATLAB simulation, for everyone to learn)

matlab多电平拓扑三相电路仿真原理图，很实用(matlab multi-level topology of three-phase circuit simulation schematic, very practical)

很有趣的动画matlab程序，简明易懂，百看不厌！(interesting dynamic matlab code)

exponnentiel law with matlab

关于模式识别，的一个大作业，是用贝叶斯区分男女的(bayes )

微信功能实现通信机制沟通你我他.在你我他之间架起沟通的桥梁(Micro-channel communication mechanism to achieve functional communication you and me. Between you and me, he acted as bridges)

Amplutide Modulation Matlab code2

详解MATLAB数字图像处理[张德丰][程序源代码] 源代码第4部分(Xiang Jie MATLAB image processing [Zhang Defeng] [source code] source code for Part 4)

matlab在系统辨识中的应用此处为递推的极大似然法应用的源代码及运行后结果（包括图像）(Matlab system identification in the application of recursive here Maximum Likelihood of the application's source code and running after the results (including images))

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. )