markov-processes

刘维的《精通Matlab与Cpp混合程序设计》。 本书主要介绍如何运用Matlab与C/C++进行混合程序设计。共分8章，主要包括：Matlab程序设计初步、Matlab编译器、Matlab与C语言的接口、生成可独立运行的Matlab程序、Visual C++调用Matlab程序、Matlab DotNet Builder与Visual C++、Matcom与C/C++以及Visual C++调用Mattab C++数学库。另外，附录中介绍有关动态链接库的基础知识。(By Liu Wei. This book describes how to use Matlab and C/C++ mixed programming. Is divided into eight chapters, including: Matlab programming initially, Matlab compiler, Matlab and C language interface, generates an independent run Matlab programs, Visual C++ calling Matlab program, Matlab DotNet Builder and Visual C++, Matcom and C/C++ and Visual C++ call Mattab C++ math library. In addition, the appendix introducing the basics of the dynamic link library.)

amplitude modulation system using simulink matlab

说明：  利用matlab仿真蜂窝小区中调度算法的性能。(Use of matlab simulation in Cellular scheduling performance.)

非常详细的自适应信道均衡程序，设计了一种用于通信信道的自适应均衡器，提供了两种均衡方法，并进行了比较。(Very detailed adaptive channel equalization process, an adaptive equalizer for a communication channel, the two equalization method, and compared.)

Decompose image into subbands, denoise using BLS-GSM method, and recompose again. fh = decomp_reconst(im,Nsc,filter,block,noise,parent,covariance,optim,sig) im: image Nsc: number of scales filter: type of filter used (see namedFilters) block: 2x1 vector indicating the dimensions (rows and columns) of the spatial neighborhood noise: signal with the same autocorrelation as the noise parent: include (1) or not (0) a coefficient from the immediately coarser scale in the neighborhood covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Version using a critically sampled pyramid (orthogonal wavelet), as implemented in MatlabPyrTools (Eero). JPM, Univ. de Granada, 3/03

精通MATLAB 有画图章节，很直观的教程(Proficient in MATLAB)

Matelab Primer，原版英文资料，不错，感兴趣的同学可以下载看看(Matelab Primer, the original information in English, well, interested students can download to see)

The sign language recognition to create a to store the training image, the video capture infront the user image and each sign language assign the letter the preprocessing the image then image is convert into rgg to cbcr. The image is segmented feature extract the shape and skin color then use the svm classification.

Matlab implementation of the graphical Lasso model for estimating sparse inverse covariance matrix (a.k.a. precision or concentration matrix)

信道测试。信号保存为.wav格式，测试信道的平稳性能。(Channel test)