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通用的Bp程序，zai MATLAB 下(RBF)

说明：  本程序验证了通信原理中的自然抽样定理，包含源码与结果(The communication principle is verified in the natural sampling theorem, including source code and results)

基于MUSIC算法的OFDM系统子载波个数盲估计(Bind Estimation of the number of subcarriers of the OFDM system based on MUSIC algorithm)

该程序将计算机视觉的目标跟踪问题转化为寻找稀疏矩阵的过程，将预先的得到的样本粒子与稀疏矩阵线性相乘得到目标(The program will target tracking in computer vision into the process of finding a sparse matrix, the sample will be obtained in advance of the particles multiplied with the goal of sparse linear)

kalman这个著名模型在图像处理与机器智能方面的应用的一些代码，打包上传了，基于matlab平台开发的。(Tracking the famous model in image processing and machine intelligence and the application of some code, Upload the package, based on the Matlab development platform.)

在matlab上读取数据 应用广泛 便于以后对数据进行进一步的处理 (Input the data by matlab)

可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络(Reversible Jump MCMC Bayesian Model Selection This demo demonstrates 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.)

Formation of Ybus using MATLAB

这是“受控自回滑动平均模型”CARMA非线性系统的随机梯度辨识算法，用于参数估计以及模型建模。(This is a " controlled slide back the average model" CARMA nonlinear system stochastic gradient identification algorithm for parameter estimation and modeling.)

5扩32 扩频方法仿真 进行SNR估计 产生pn码 基带仿真(5 extended to 32 spread-spectrum method is estimated SNR simulation)