fft_matlab

很不错的RS纠错编码原理及其实现方法。pdf格式(rs encode and decode.)

海杂波的matlabb仿真，希望对大家有用 (Matlab simulation of sea clutter, iin the hope that useful to everybody )

此代码为《无网格法》书籍的Matlab源码，作者是张雄。(This code is "meshless method" Matlab source books, the author is Zhang Xiong.)

可以将matlab中的mat文件转换成txt文件，方便其他的应用程序调用。(Mat files can be converted into a txt file and facilitate the application calls.)

code matlab for image retrieval

自定义的三次样条小波去噪程序，其中分解层数为4，阈值处理采用软硬阈值计算方法。(The three-dimensional spline wavelet denoising procedure is adopted, and the number of decomposing layers is 4, and the threshold is used to calculate the soft and hard threshold.)

target tracking using kalman

线性判别分析法源代码,LDA算法，输出分类结果(Linear discriminant analysis method source code, to output the classification results)

基于OMI的臭氧数据的2006-2015年月平均资料处理及汇编(2006-based OMI ozone data 2015 monthly average data processing and assembly)

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. )