vwap

小孔径光电导天线产生太赫兹波的辐射特性(Produce small aperture photoconductive terahertz antenna radiation characteristics)

Encoding of LDPC codes

MD5 encryption and decryption by srp

C语言实现弗洛伊德路径搜索，同时为了提供接口，使用命令行方式给出原始矩阵地址，并且也已txt文本形式将结果保存。测试效果：一个需要在MATLAB中运行8秒的矩阵，在使用该程序时，总共只用了5秒（MATLAB初始化数据+调用该程序+该程序运行+返回至MATALB所用的时间）。而在MATLAB中使用该程序与调用函数相差不大。(C language Freud path search, and in order to provide an interface, use the command line gives the address of the original matrix, and also save results in text form txt. Test Results: A need to run 8 seconds in the MATLAB matrix, in the use of the program, a total of only 5 seconds (MATLAB initializing the program+ data+ call+ back to the program running time spent MATALB). In MATLAB, use the program with little difference between calling a function.)

C4.5算法 matlab实现的，感觉还可以，大家可以看看！(the implementation of C4.5 using matlab)

我自己用matlab编写的文件,对于基础的图像处理学习者有很大帮助,文件大约4kb.用于对图像的基础处理时检测图像质量.(File matlab prepared for my own use, for the basic image processing learners great help file about 4kb. Used for basic image processing to detect image quality.)

Neural Networks（神经网络）在Matlab中的应用(Neural Networks (neural networks) applications in Matlab)

OFDM详细的MATAB仿真，包括了每一个详细的步诌(Detailed OFDM simulation MATAB)

EM算法在神经网络中的应用，可以用来进行视频数据分类。(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.)

multipath channel modelling