5-3-3

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.)

bp网络实现过程的源代码，用c、c++和matlab编写(bp network process source code, using the c c++ and matlab prepared)

UVW caluculation of wind vector In RADAR

利用再大似然方法对雷达DOA进行估计，对结果进行了对比(Again big likelihood method is used to analyse the radar DOA estimation, the results were compared)

用双线性变换法设计IIR数字滤波器 （1）用双线性变换法设计一个巴特沃斯低通IIR 数字滤波器。设计指标参数为：在通 带内频率低于0.2π 时，最大衰减小于1dB；在阻带内[0.3π ,π ] 频率区间上，最小衰减大于15dB。 （2）以0.02π 为采样间隔，打印出数字滤波器在频率区间[0,π / 2] 上的幅频响应特性 曲线。 （3）用所设计的滤波器对实际心电图信号采样序列（在本实验后面给出）进行仿真滤 波处理，并分别打印出滤波前后的心电图信号波形图，观察总结滤波作用与效果。 (err)

a simulation example of the passe bande filter

Nonsubsampled Contourlet Transform

大学数学实验-清华出版社-姜启源-第4章例题源代码 (Mathematics Experiment-Tsinghua University- Chapter 4 Example)

Object Recognition of Red color objects in a Live video stream camera. It is a Matlab Code

基于有限体积法求解不可压缩流体的二维NS方程，包括结果图，可移植性好。(solving 2-D N-S equation based on FDM)