connect_timer_EEG

在MATLAB下实现了图像的方块编码功能(Achieve the image in the MATLAB code in the box functionality)

C ++ CODEBOOK 完整电子版，学习c++必备。(C++ CODEBOOK)

在基于核的meanshift算法框架下，利用kalman算法实现目标模型更新，从而有效的实现运动目标跟踪(In core based meanshift algorithm framework, using Kalman algorithm to achieve the target model update, so as to effectively realize the moving target tracking)

自己编的FIR滤波小程序，使用MATLAB编程，特点就是短小精悍~ (FIR；MATLAB)

此程序为subranging结构A/D Converter的一个简单示例。(An example for subranging A/D Converter)

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：  注释非常详细的FFT变换，用matlab实现两个正弦函数的区分，初学着都能看懂(Notes very detailed FFT transform, with the achievement of the two sine function matlab distinction, the novice can understand)

本程序是用matlab编写创建稀疏矩阵结构(This program is created using matlab sparse matrix structure)

基于C均值对数据进行聚类分析。数据基于网上的student里male和female数据，功能齐全(Based on C-means clustering analysis of the data. Data based on male and female student in data networks, fully functional)

说明：  包含了matlab实现bp神经网络模型的三段源码，其中还有一段例子。(Realize bp contains matlab neural network model of the three sections of source code, of which there is still a case.)