SAD

Discrete Orthogonal Polynomial Toolbox: DOPBox Version 1.5

MASK调制信号MATLAB仿真程序，由希尔伯特变换提取调制信号的瞬时信息(MASK MATLAB HILBERT)

This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. (This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. )

绘制单摆方程的相空间图，并作poincare图分析其混沌特性(Painted pendulum phase space, and make poincare)

混沌工具箱 Matlab 计算分叉 庞加莱(Chaos Toolbox)

光流（运动估计）经典算法Horn and Schunck算法MATLAB程序(Horn and Schunck MATLAB)

Mobile User Localization

mapping function. s=t(r)

This project has proposed an alternate novel method of finger vein and finger texture recognition system .This system has taken more advantage than the existing system in term of security purpose since the vein pattern is not visible to human vision without any special device, it will not produce any trace in any object. We examined a complete and fully automated approach for the identification of low-resolution finger surface / texture images for the performance improvement

说明：  一种9/7整数小波变换，已通过仿真验证，可供初学者借鉴学习(A 9/7 wavelet transform, has been verified by simulation, for beginners to learn from)