算法程序代码

particle filter for tracking visual target using Matlab ,enjoy it!

matlab语音处理信号。直接下载就可用！！！！(matlab voice processing. Directly available! ! ! !)

Matlab algorithm to calculat Lyapunov exponent from ODE

Collect device information on target device.

matlab 仿真领航跟随编队, 仿真领航跟随编队( 仿真领航跟随编队)

根据输入的状态量，产生多个的传感器观测量，并且加入高斯噪声。(According to state the amount of input to produce multiple sensor observations, and add Gaussian noise.)

基于BSC信道的simulink仿真模拟( U57FA u4A1 uli)

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. )

Logistic映射与奇异吸引子 一、logistic映射---通向混沌的道路 混沌系统，由于其行为的复杂性，往往认为其动态特性（运动方程）也一定非常复杂，事实并非如此，一个参量很少、动态特性非常简单的系统有时也能够产生混沌现象，以一维虫口模型为例，假设某一区域内的现有虫口数为yn，(logistic实现6蛛网迭代)

个人所得税分配方案设计 使用 mlatlab进行仿真(matlab geren suodsui)