89346509RandomForestMatlabVersion

基于Matlab_6．x的Kalman滤波器的设计与仿真,...........(Matlab)

this m/fig file is telling about transition image info to txt data,may mainly used for direct data deal aspect .zip pageage has 2 pic examples and a done txt file.

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. )

It is Radar System design and signal prcessing code based on standard algorithm .this is vey important for biggener those who are working on Radar signal processing area.This code contain various chapter. this is basically chapter No10

说明：  对给定的数据，利用PCA求取数据中主分量(Given the data, using principal component in the PCA data to strike)

说明：  经典的无线传感网定位算法，MDS-MAP及其改进算法，附有详细说明(location algorithm in wireless network,mds-map,an improve edition )

冈萨雷斯书籍图像库 图像的基本 一些李娜图像等等(Gonzalez basic image image library books)

广义预测控制（C=1）（对象参数已知）N1=d、N、Nu取不同的值(Generalized predictive control (C = 1) (object parameter known) N1 = d, N, Nu is the different value)

二维ESPRIT算法的一种实现（需预先生成导向矢量）(An implementation of 2D ESPRIT algorithm, which is used for DoA estimation.)

斑纹噪声消除，matlab代码，里面有测试图像和我自己写的dicom文件处理参数(Speckle noise reduction, matlab code, there are test images and I wrote it myself DICOM document processing parameters)