MIP

在这个压缩文件中，你能看到用两种方法仿真机器人动作的例子。(In this file you can find an example that simulated a robot with using two soft wares.)

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. )

说明：  这个是MIMO-OFDM的仿真程序，还有对程序的注释以帮助读者理解程序(This is the simulation materials for MIMO-OFDM. And there are also some notes to help the readers to understand the codes.)

对Lorenze系统进行延迟反馈控制，系统采用Simulik建模仿真(Delay feedback Control for Lorenze Chaos system)

预测控制DMC算法，欢迎交流，简单明了。(programming for model-prediction control )

matlab求解两点边值问题的常微分方程组。追赶法求解。(chasing method for solving ODE bvps)

TURBO均衡算法，完整的通信系统，可直接仿真，信源编码调制瑞利水落信道，然后接收端进行解码均衡，最后绘出误码率曲线图(TURBO equalization algorithm, a complete communication system, direct simulation, the source code modulation Mizuochi Rayleigh channel, then the receiver decodes the equalizer, and finally the bit error rate plotted graph)

os mit fork i gues moroccain bla

说明：  归并排序 使用归并方法实现一系列数的从小到大的排序(Merge sort using the merge method to achieve a number of small to large order)

编写一个matlab函数用一个N点离散傅里叶变换同时计算两个N点实序列的离散傅里 叶变换，并将结果与直接使用两个N点离散傅里叶变换计算出来的结果进行比较(Write a matlab function with an N point discrete Fourier transform and calculate actual sequence of two N point discrete Fourier transform, and the results with the direct use of two N point Discrete Fourier Transform calculated results are compared)