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Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.

Implementation of fulkerson alghoritm, graph theory. Full source code in C++.

蒙特卡罗辐射传输计算，用于医学诊断和大气辐射传输计算(monte carlo radiative transfer)

OpenSteer libary for stering

说明：  简单的画折线功能，单击右键示图取消，按住control键重置起点。(The painting features a simple broken line, right-click Diagram canceled, hold down the control key to reset the starting point.)

Matlab与VC++混合编程，用VC调用Matlab命令(Matlab and VC++ mixed programming with VC call Matlab command)

说明：  qr变换和householder求特征值的算法，可与matlab结果比对(qr transform and householder eigenvalue algorithm, the results compare with matlab)

Matlab 和C C++ 混合编程 刘维编著(Matlab and C C++ mixture programming)

说明：  经典的matlab与VC++混合编程例子(using Matlab and c++ to program togother。)

协方差驱动随机子空间法的matlab算法，我下的。(Covariance-driven stochastic subspace method)