LSFD

仿真瑞利衰落信道，可以满足不同用户的对与瑞利衰落信道的要求(Rayleigh fading channel simulation to meet the different users with Rayleigh fading channel requirements)

矩阵运算与优化，包括特殊矩阵的生成及稀疏矩阵的介绍(Matrix calculation and optimization, including the introduction of a special matrix generation and sparse matrix)

DESCRIPTION: This Matlab algorithm performs many tasks associated with power system analysis. First, it has the ability to perform both fully coupled and dc power flow analysis. Second, it has the ability to create measurements (with user-defined error) to be used as input for state estimation. Third, it has the ability to perform state estimation - allowing the user to examine how the placement of measurement devices as well as magnitude of distibution of measurement error affect the discrepency between power flow and state estimation results. In essence, it provides the user with a complete package for the study of both power flow and state estimation in n-bus power systems.

图像边缘检测，并有gui界面的设计 有matlab程序生成exe的部分内容(detection of the image edge and establish the gui)

APF SVG matlab souce

Disparity Map computation by Local correspondence search SAD, SSD and NCC. RMS error between the groundtruth and computed disparity map.

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：  rosenbrock是数值最优化里的一个重要算例，运用MATLAB编程测试算例(rosenbrock numerical optimization is an important example in using the MATLAB programming test examples)

kalman滤波器一个matlab程序，用于处理语音信号。(a kalman filter matlab program for the treatment of voice signal.)

基于LMS的时延估计算法LMSTDE，改方法的改进版本为ETDE算法，会在稍后上传(Time delay estimation algorithm based on LMS LMSTDE, change the method of an improved version of the ETDE algorithm, will be uploaded later)