case_study_2

最小二乘模型参数离线辨识，解决这类问题的优化计算，可以提高速度，节省时间(Least squares model parameters off-line identification, to resolve such issues to optimize the calculation, you can improve speed, to save time)

modeling of power lines using matlab software

数据挖掘的线性判别分析,用matlab编写(Data Mining linear discriminant analysis, using matlab write)

This is a pdf which tells about digital image processing

采用数据拟合法进行的高斯白噪声信道下的信噪比估计，程序中有经典summer法以及本人自己拟合的二阶和三阶参数，适用于不同的信噪比范围，望大家一起交流(By data fitting of the Gauss white noise channel SNR estimation, the program in the classic summer method as well as my own fitting of the two order and three order parameters, applicable to different SNR range, hope everybody exchanges together)

The rar folder contains the G.729 matlab code for encode and decode

这是一个利用平面波展开法对二维光子晶体的能带隙进行模拟(This is a plane wave expansion method using two-dimensional photonic crystal bandgap 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. )

这是SAR成像方面的经典书，这本书包含了SAR成像方法的理论基础，并且用matlab实现了一些经典成像算法，对于初学者是很好的入门教材。(SAR imaging is a classic book, this book contains the theoretical basis for SAR imaging methods, and use matlab to achieve some classic imaging algorithm for beginners is a good primer.)

motion blur restoration, in this .m file motion blur restoration with CLS and wiener algorithms have been done