Outlier_Demo

This function is the function for the closed contour plot of the swing, then swing the plot padding made before the action, so the plot can take into account the entire swing closed contour, the program I used curvature scale space of his treatment another program curvature is used to calculate the location of high curvature points

傅里叶变换的程序，是matlab的m文件，可以直接运行(Fourier transform procedure is matlab m-files can be run directly)

Solution Manual for Chen Linear System Theory

some example of Matlad and DSP (f28335 -sci , ADC,QEP....). this is good for beginner try to connect matlab and DSP in application

We present in this paper a new method for blind source separation which is adapted to the case where the sources have different morphologies. We show that the morphology diversity concept leads to a new and very efficient method, even in the presence of noise.

利用小波阈值系数降噪的方法，对振动噪声信号进行降噪( 25/5000 Lìyòng xiǎobō yùzhí xìshù jiàng zào de fāngfǎ, duì zhèndòng zàoshēng xìnhào jìnxíng jiàng zào The method of wavelet threshold coefficient noise reduction is used to noise the noise signal)

完成复杂网络基本操作，基于网络图模型，可与图论算法及其matla实现配套使用(Complete complex network basic operation, based on network graph model)

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. )

说明：  摄像机标定matlab_cameral_colabration(Camera calibration matlab_cameral_colabration)

说明：  本程序实现多模态故障检测与故障诊断，用的方法是pca_GMM_FJ，对象为TE,GMM是用的FJ算法，效果很好(This procedure realize multimodal, fault detection and fault diagnosis method is pca_GMM_FJ, object for TE, GMM FJ algorithm is used, the effect is very good)