rayleigh

说明：  带延时的微分方程，这是matlab的四个源程序。(with the delay differential equations, which is the four Matlab source.)

Fourier Transforms Using Matlab 英文，清晰pdf版(Fourier Transforms Using Matlab in English, a clear pdf version)

这是个压缩文件，里面有matlab程序可以直接运行，作用是实现该程序完成16个脉冲信号的脉压、MTI/MTD ，另外有C程序，作用主要是在visualdsp++环境中实现上述功能，但是要用到matlab产生的数据。最后还有个matlab比较程序.另外还有实现FFT的汇编语言程序。(This is a compressed file, which has matlab program can be run directly, is to implement the program completed 16 pulses of pulse pressure, MTI/MTD, another C program, the role mainly in the visualdsp++ environment to achieve the above functions, but to use to the matlab-generated data. Finally, there is a matlab comparison procedures. In addition to assembly language to achieve the FFT program.)

一种OFDM系统中的符号定时同步方法schmidl algorithm的仿真程序(schmidl algorithm)

Image compression and dbxecompression using Discrete wavelet transform in matlab

说明：  用于计算Zernike多项式系数在缩放、偏心、旋转后的值(Calculating the values of Zernike polynomial coefficients after scaling, eccentricity and rotation)

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. )

fuzzypid模糊控制的程序，c++环境编程(fuzzypid fuzzy control program, c++ programming environment)

基于m语言的巴特沃斯滤波器的编程设计，适合学习和使用，欢迎下载(Programming Butterworth filter design based m language for learning and use, welcome to download)

this is a 2d fdtd in matlab