PhaseUnwrapping2D

GRAY图像转换到RGB图像的Matlab函数。(Matlab function for conversion from GRAY image to RGB image .)

Em algo for GMM, data mining unsupervised learning

uploaded the polar codes for cooperative relay networks and the same can be used for compression

电磁场仿真软件CST，并行计算设置方法。(Electromagnetic simulation software CST, parallel computing setting method.)

本程序描述了各种信道的模型，并对每一种信道模型都进行了分析和仿真，并对结果进行了描述(This procedure describes the various channel models, and each channel model are analyzed and simulated, and the results described)

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：  定义了一种调制信号，使用时可以直接调用该信号(mpsk)

研究生毕业论文中的一部分MATLAB源代码，实现压缩卡尔曼滤波算法，包含了仿真结果。(Graduate thesis part of the MATLAB source code, to achieve compression Kalman filter algorithm, including the simulation results.)

Permanent Mangnet Synchronous Motor using sliding model observer.......using SIMULINK

kalman一维滤波，采用两点差分法确定初始值，并仿真出不同初值情况下的估计效果(the fiter base on kalman)