sanciyangtiao

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. )

一个详细介绍如何使用Matlab中的Simulink的PPT(A detailed description how to use Matlab in Simulink to PPT)

使用matlab编程，图论最短路线的Ford迭代算法、Dijkstra算法和Floyd算法(Ford shortest graph theory iterative algorithm)

详细的卷积编码与维特比译码算法。产生随机信号，对信号进行卷积编码，然后经过数值转换、格雷编码，QPSK调制，进入加噪信道，之后进行QPSK解调，格雷解码， 数制转换、 维特比译码得到接收端的信号。(Detailed convolutional coding and Viterbi decoding algorithm. Random signal, the signal convolution coding, and then through numeric conversion, Gray coding, QPSK modulation, plus noise into the channel, followed by QPSK demodulation, decoding Gray, number system conversion, Viterbi decoding to get the receiving end of the signal.)

滤波器高斯噪声模型信道和jake s模型信道上的蒸饺相位调制，matlab源码(QPSK on the filtered gaussion noise channel and jake s model ,matlab code)

利用matlab进行信号处理的几个例子，简洁明了，十分实用(examples about signal processing using matlab)

切换算法MALTLAB仿真,用于异构网络！(MALTLAB switching algorithm simulation for heterogeneous networks!)

2008年出版的，最新的第四版的讲信号与系统建模和simulink的书籍，很是适合通信专业的参考！同时也可以作为matlab扫盲的书(Published in 2008, the latest talk about the fourth edition of Signals and Systems Modeling and simulink books, it is a reference for communication professionals! At the same time can also book as a literacy matlab)

通信实验中信号在随机信道中传输，其接收信号的瑞利分布，(A communication channel in a random test signal transmission, the received signal Rayleigh distribution,)

garbor滤波 进行特征提取 readme包含运行指令过程(garbor filtering feature extraction readme contains the operation command procedure)