shusan

用filter driver控制键盘的源代码.(filter driver using the keyboard to control the source code.)

本程序描述了无导师学习的神经网络用于一般的分类问题(This procedure describe no mentor learning neural network used for general classification problem)

全局阈值程序，用于matlab中图像分割，能够对比强烈的图片进行较好的分割。(Global threshold program, used in matlab image segmentation, can be used to better segmentation contrast images. )

运用MMSE方法的波束形成，对空间信号起滤波作用(MMSE method for beamforming)

％ 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)

这是斯坦福大学的教授研制的软件，中国现在学习用的很广的工具，我给出的是相关的资料文章。(This is a professor at Stanford University, developed software, China is now very widely used learning tools, I give the relevant information in the article.)

The program computes the solution to a Laplace problem by the boundary element method.

适用于802.16d的无线信道模型的说明文档，是standford的sui信道模型(Applicable to the wireless channel model 802.16d documentation is standford of sui channel model)

用matlab实现zigzag扫描，H.264帧内编码中不可缺少的环节(Zigzag scan using matlab implementation, H.264 intra-coded indispensable part in the)

说明：  read an image then draw it s 3D Histogram,include R and G or R and B or G and B. I have never found correct code of this before