Untitled

关于IEEE 802.11a 系统的图形界面仿真(The file is "IEEE80211a.mdl" file to be opened using simulink. The model is self-explanatory. It is built up based on the software techniques )

基于matlab的粒子滤波目标跟踪算法2，对于初学者很有用(Matlab-based particle filter tracking algorithm 2, very useful for beginners)

基于循环前缀的同步链路，包括调制解调等流程(Cyclic prefix based synchronization link, including the modulation and demodulation process)

白志东给出的对于高维数据两总体均值检验的程序，可以参考下(high dimension)

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. )

本程序设计的是咬尾编码的turbo码，用matlab编写。咬尾turbo码也即不需要拖尾比特，使得前后两个状态相同，译码采用修正的MAP译码算法。此文件为turbo码译码一般的MAP算法，程序中用作与咬尾turbo译码的对照(This program is designed to encode the turbo tail biting code, written with matlab. Tail biting turbo code that is not trailing bits to make the same before and after the two states, the MAP decoding using modified decoding algorithm. This document is a general MAP turbo decoding algorithm, and biting the end of the program for the control turbo decoding)

有限反馈的仿真程序，当选择不同的发送用户数时候的系统吞吐量。(Limited feedback simulation program, when choose a different number of users when sending the system throughput.)

基于元胞机的机器人绕行障碍，完美运行，找到最佳路径(Cellular machine-based robot bypass obstacles, the perfect run to find the best path)

Matlab code of Zero Forcing Symbol Space Equalizer using MMSE

Biometric Fingerprint, testing application