ParetoFront

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.

iris recognition System will automatically delete the directory of debug and release, so please do not put files on these two directory.

改文件描述了2DPSK的一些基本原理及其实现方法，主要在MATLAB环境实现(the description of 2DPSK)

Kalman Filter programmation

matlab COM组件和MFC的混合编程(matlab COM component and MFC programming mix)

Using serial port with Matlab GUI.

用Goldstein法求解一维函数的极值 (By Goldstein method for solving one-dimensional function of the extreme)

利用信号的循环平稳特性进行相干源的波达方向估计(DOA Cyclostationarity use of coherent signal source estimates)

c++ code for forward modeling in transverse electromagnetic wave propagation.

相干光通信的matlab离线处理代码，非常有用的资料。。。。(Coherent optical communications offline processing matlab code, very useful information. . . .)