ALQE

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. )

说明：  高压缩比信号的重构问题，压缩感知理论相关(Reordering for Better Compressibility Efficient)

本论文的主要内容包含以下几个方面: 首先，论述了图像融合技术的基本理论、现状和方法，并对多聚焦图像融合 算法及融合结果的评价方法做了分类。 其次，论述了小波理论及其图像的小波分解和重构，研究了小波分解层数及 小波基函数的选择对多聚焦图像融合效果的影响，并给出了在多聚焦图像融合算 法中最佳小波分解层数和小波基函数的选取 再次，研究了基十小波变换的多聚焦图像融合方法，并提出了改进后的基十 小波变换区域对比度的多聚焦图像融合方法，并利用Matlab工具进行算法进行了 仿真实验 最后，总结本论文的研究成果和不足，并指出发展方向。(The following main parts are included. Firstly, this paper discussed the basic theory, present state and means of image fusion technology, classified multi-focus image fusion algorithm and evaluation means of image fusion consequences. Secondly, this paper discussed the wavelet theory and the wavelet decomposition and reconstruction of image, studied the effects on selection of wavelet basis function and wavelet decomposition level to multi-focus image fusion, at last the best choices are proposed. Thirdly, a new method: regional contras of wavelet transformation are proposed for multi-focus image fusion based on wavelet transformation and Matlab is employed to simulation algorithm Finally, this paper summarized the research achievement and insufficient of this paper and pointed out development direction. )

遗传算法及其matlab实现，包括遗传算法介绍(genetic algorithm and the Implementation of Matlab, including genetic algorithm introduced)

GSM simulation in simulink. composd of encoder and decoder. but it is not completed

Lego nxt sonars testing results and codes for matlab

基于图论求解最短路径，经典dijkstra算法，通用版(Based on the graph theory to solve the shortest path, classical dijkstra algorithm, general version)

说明：  一个实现hilbert变换的小程序包，程序写得很简明，对理解hilbert变换的实现过程很有帮助(Hilbert transform an implementation of small packages, programs written very concise and to the understanding of the implementation process is helpful hilbert transform)

lorenzx相位图 吸收引子 混沌 chaos(lorenz system phase)

通信系统仿真原理与无线应用配套MATLAB代码(Wireless communications system simulation theory and applications supporting MATLAB code)