dpd_Zhu

Machine learning - balancing a stack of balls

OFDM and demodulation

给定时间序列信号，计算Hjorth参数的mobility和complexity.(computes the Hjorth parameters mobility and complexity.)

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. )

Photonic crystal is discribed in this matlab code please notice that it does not compatible with any work you want to do,you may modify it to use.

This is the m file for reading uff file using matlab. I can be easily read uff file in which to analyze the data.

1.对原图像高斯平滑 　　2.对高斯平滑后的图像进行sobel边缘检测。这里需要求横的和竖的还有联合的，所以一共三个需要sobel边缘检测图像。 　　3.对联合的sobel检测图像进行非极大抑制 　　4.连接边缘点并进行滞后阈值处理。 (1. Gaussian smoothing the original image 2. Gaussian smoothed image was sobel edge detection. Here and there on request transverse vertical joint, so a total of three required sobel edge detection image. 3. sobel joint detection image greatly inhibit non- 4. Connect the edge point and hysteresis thresholding.)

说明：  实现可见光通信的仿真，用OFDM的调制方式(VLC communication OFDM)

说明：  Distributing advanced technique for the cockpit.

本文件给出了科学计算所涉及的常用问题的源程序，同时给出了一些例题，适应初学Matlab者。(This document gives the commonly used scientific computing problems involved in source code, and gives some examples, those who meet the novice Matlab.)