FFT_conver

program malab for trensient stability of power system

simulink的入门教程，老师上课讲的课件，较易懂，适用于初学者(simulink introductory tutorial, the teacher talked about class courseware, more easy to understand for beginners)

一个桁架结构的动力学响应和主动控制程序，优化算法采用了粒子群方法。仅供参考。(this dissertation discusses the dynamical response and contrlol design of a flexible trussed structure the optimal position of actuator is studied by using the particle swarm optimizer as optimization algorithm.)

基于matlab的模糊控制系统 针对智能控制的学习 使用模糊算法 (fuzzy control system that based on the matlab )

用matlab写的经验模式分解程序。可作希尔伯特-黄变换，画时频图。(Empirical mode decomposition process Written by matlab .It Can be used for Hilbert- Huang Transform and time-frequency analysis.)

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. )

自适应滤波器的lms算法，包括误差，频谱等性能仿真(Lms adaptive filter algorithms, including error, such as performance simulation of spectrum)

一个货物管理系，用的是面向对象的开发方法，里面所有说明齐全，点击startup就可以运行，名为good的文件夹里面是源代码。(A cargo management system, using object-oriented development methodology, which all the notes complete, click the startup will be able to run, to be called good folder is inside the source code.)

子空间分解识别算法包括算法的MATLAB程序以及运行结果

基于MATLAB的线性调频信号产生和频谱分析，某雷达参数数下的模糊函数及自相关函数仿真分析。，已通过测试。 (MATLAB linear FM signal generator and spectrum analysis, the number of parameters of a radar ambiguity function and autocorrelation function of simulation analysis. , Has been tested.)