有限元的热代码 Heat-Transfer-FEM-Package-master

说明：  AR(p) Process Periodogram Spectral estimation,

MatLab 7, Creating Graphical User Interfaces

有限反馈的仿真程序，当反馈比特数不同时候的系统吞吐量的变化。(Limited feedback simulation program, when the feedback bit different when the system throughput changes.)

说明：  永磁同步电机id=0 FOC控制，SVPWM算法simulink仿真模型，波形良好(Permanent magnet synchronous motor id = 0 FOC control, SVPWM algorithm Simulink simulation model, good waveform)

说明：  这个功能是用于Matlab中的某个功能所使用的，非常好的一个原代码！(This feature is used in a Matlab function used, very good a the original code!)

matlab遍历算法程序，对所有的元素都遍历一篇，已经验证可用(traversal algorithm matlab procedures, all the elements are traversed one has been used to verify)

基于后置滤波器维纳滤波的波束形成算法代码(Beamforming algorithm code based on the post-filter Wiener filter)

emd程序，可以用于滤波，得到几个IMF分量，滤掉复杂的波从而分析波的特征(emd program, can be used to filter, get a few IMF component, the complex wave filter to analyze the characteristics of wave)

该程序是利用matlab来对一个序列dcm差分编码，也包含译码程序。可用于通信仿真.同时包含一个小波仿真的例程(This function use matlab to simulate the function of dcm, this can be used in communication simulation.)

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. )