final

harris角点检测的小程序，希望对大家有用，谢谢(harris corner detection of small procedures, we hope to be useful, thank you)

关于emd的判据研究，通过它可以终止emd对分平稳信号的分解，是最新版的方法(On the EMD criterion, it can terminate the EMD pair of stationary signal decomposition, is the latest version of the method)

航天工程仿真，包括实际情况参数的选取，模型选择！(aerospace toolbox )

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. )

关于贝叶斯统计估计，图像模型，概率计算的程序包(Provide a unified conceptual and software framework encompassing machine learning, graphical models, and Bayesian statistics )

ecg signal compression using fft dst

good document about active vibration control

make descrite selection from a set of values with different probabilities and produce a sample array

说明：  光伏模块模型，使用BOOST升压电路，稳定运行，结果基本正确！！！(simulink PV model Photovoltaic module model, using boost boost circuit, stable operation, the results are basically correct!!)

farraw filter matlab simulation(farrow filter matlab simulation)