matlab_code3

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.

电磁场分析。不错的。直流的导线、做的比较好的(Electromagnetic field analysis. Good. DC wire,,,)

说明：  基于matlab的免疫克隆算法，求解一元函数的最优解，可直接运行，出图(Matlab-based immune clonal algorithm to solve the optimal solution of functions of one variable, and can be run directly out of Figure)

EMPIRICAL MODE DECOMOPOSITION PAPER

说明：  matlab入门简介，北京邮电大学多媒体通信中心 (matlab entry profiles, Beijing University of Posts and Telecommunications Multimedia Communication Center)

在matlab环境下控制srv-1机器人，解压后java文件夹放入matlab的bin中，其余放入toolbox(matlab srv-1 under control of the robot)

计算三维坐标各点相互距离，结果存在对角阵中(calculate 3D points distance between eachother!)

Gray scale for digital Image Processing MATLAB code

说明：  IEEE33潮流计算函数，主程序输入负荷就可以进行潮流计算。输出电压网损功角(IEEE33 power flow calculation function, the main program input load can be used for power flow calculation. Output Voltage Network Loss Power Angle)

说明：  用MATLAB仿真DVHOP定位算法代码(Location algorithm using MATLAB simulation code DVHOP)