MPPT

说明：  2D的FDTD程序，有关边界的设定，物理参数的设定等，对学习FDTD很有帮助。(2D of the FDTD program, setting the boundaries, the physical parameters of the set and so helpful in learning FDTD.)

针对四个水箱的水位控制用预测控制方法编写的一段matlab程序，希望有用。(Four water tanks for water level control with a predictive control method matlab program written in the hope that useful.)

该程序可以用作计算谐振器的传输特性，包括透过率、相移、色散、延迟等。(describe resonator)

Processor Namespace Alias extends X S L T Element Processor Source Code for Andriod.

时延估计和波束形成方法，在声源跟踪方面有用(Time delay estimation and beamforming methods, useful for tracking the sound source)

figure for fibercode

刀具在线监测故障信号的时域频域时频域特征提取matlab程序 (Tool-line monitoring of fault signals in time domain frequency domain time-frequency domain feature extraction procedures matlab)

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. )

matlab 数值优化遗传算法程序，大家都看看嘛。(matlab genetic algorithm numerical optimization procedures, we all look at them.)

It is one of the successful prediction algorithms to estimate frequently for unknown parameters with real time operation. The principle of Recursive Least Square depends on least square mathematical weighted. Also, Recursive Least Square can set the points to fit the curve.