blind_deblur(Fergus-R)

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. )

Particle swarm optimization ...

Duffing系统的时域谱图和相空间轨迹绘制，能够帮助初学者很好的理解典型非线性特征(duffing equation Phase plane trajectory)

说明：  包含一元线性回归分析、多元线性回归分析、逐步回归分析、非线性回归分析、主成分分析、因子分析、层次聚类分析、判别分析、自相关分析和自回归分析的全套Matlab源代码(MATLAB source code including linear regression analysis, multiple linear regression analysis, stepwise regression analysis, non-linear regression analysis, principal component analysis, factor analysis, hierarchical clustering analysis, discriminant analysis, autocorrelation analysis and autoregressive analysis)

小波分析理论与MATLAB7实现，是本电子书，需要安装超星电子图书阅读器来阅读。(Wavelet analysis theory and MATLAB7 realization is the e-books, need to install Superstar electronic book reader to read.)

详细的介绍了信号处理过程中的matlab应用，适合初学者学习(Described in detail in the matlab signal processing applications, suitable for beginners to learn)

MIMO-OFDM系统中的信道估计 matlab实现(MIMO-OFDM system channel estimation matlab implementation)

audio streaming source code

DSP_Matlab（附例程）超星电子书+MATLAB例程(DSP_Matlab (attached routine) Superstar book+ MATLAB routine)

说明：  这是一个计算盒子维数的程序，值得我们收藏(This is a procedure for calculating the box dimension, it is worth our collection)