Basesss2

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.

BOOT PI CLOSE LOOP CONTOLLER

说明：  一个MATLAB的应用程序，很方便的！使用时需要转换为M文件。(a MATLAB applications, a convenient! Use need to change for the M documents.)

简单的MATLAB拉普拉斯变换，单位阶跃响应的程序(Simple MATLAB Laplace transform of unit step response procedures)

Antenna code for finding 3D impulse response

电机转子台，断条缩孔的计算等，MATLAB等(Rotor sets, Breaking Shrinkage calculation, MATLAB, etc.)

madlab c++ 接口，Madlab的一本很好的书(madlab c++ interface, Madlab)

this is a example about matlab and VC

关于大气MTF的资料，有助于理解大气MTF的作用，估计计算大气MTF的值。(The information on atmospheric MTF, help to understand the role of atmospheric MTF, estimate calculated atmospheric MTF value)

AC3toMP3 GUI. GUI application for AC3ToMP3.