pointPposition

using graphics in matlab 02 b

说明：  神经网络学习二维非线性函数 ,多维非线性辨识的MATLAB程序(neural network learning 2D nonlinear function, multi-dimensional nonlinear identification procedures MATLAB)

线性判别法（LDA），用来降维的，找了好久了，很好用(Linear discriminant method (LDA), used to dimensional reduction, for a long time, very good )

谱聚类的matlab实现，其中包括k-means的实现，谱聚类聚类结果要优于k-means的聚类结果(Spectral clustering matlab code, including the code of k-means, spectral clustering results is better than k-means clustering results)

本压缩文件详细介绍了Robert Piche博士关于贝叶斯算法的理论和他的笔记，其中文档中还包含源码程序，另附两个m文件源程序，是一个非常实用的学习及参考资料(In this course we present the basic principles of Bayesian statistics (an alternative to "orthodox" statistics). We start by learning how to estimate parameters for standard models (normal, binomial, Poisson) and then get acquainted with computational methods (MCMC) and software (WinBUGS) that can solve complicated problems that arise in real applications. Advanced topics include model comparison and decision theory. )

％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)

此程序为matlab图形图像程序，希望对大家能有所帮助。。(This program matlab graphics program, and I hope we can help. .)

program is used to transfer data in a secure manner in wireless sensor network

根据smart antenna的原理进行的beamforming的matlab仿真并画出了beampattern(According to the principle of smart antenna beamforming matlab simulation and draw the beampattern)

The routine potsband calculates a bandpass filter corresponding to the standard telephone passband(potsband calculates a bandpas 's filter corresponding to the standard telepho ne passband)