OFDM_simulation

接受信号协方差矩阵估计的mvdr自适应算法。 方向图方针效果图(Receiving the signal covariance matrix estimation mvdr adaptive algorithm. Pattern renderings policy)

模糊控制MDL模糊MATLABfuzzypid(MDL fuzzy control fuzzy MATLAB uzzypid)

This folder contains three files to maniupulate XOR logic. Ist file is for and logic. Second file is for OR logic. They are implemented using matlab 2008 version.

定义surface distance， matlab 代码，可以运行，计算两个曲面 球面之间的距离(surface ellipsoid distance calculation )

矩阵积和式双元素Laplace展开，利用Laplace展开递归计算矩阵积和式(the laplace expansion of matrix permanent)

基于FCM和图割的交互式图像分割方法，关于图割的应用(FCM and the graph cuts based interactive image segmentation method applied on the graph cuts)

This is a program that calculate the criptosystem Diffic Hellman

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：  多基时差雷达定位算法。以雷达测量误差分布规律入手，找到从多个地面时差雷达所测数据中找到较为精确的目标位置。对地面雷达的布站原则也有一定意义。(More than the time difference between the radar-based positioning algorithm. To the radar measurement error distribution to start to find the time difference from several ground-based radar measured data to find a more precise target location. Cloth on the ground radar stations have a certain sense principles.)

对随机高斯白噪声进行仿真实验，获得一组图像，能直观的理解噪声性质(Simulation experiments, to obtain a set of images, intuitive understanding of the noise characteristic of random white Gaussian noise)