interface_matlab&C++

backwardfoeward load flow for distribution network

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.

说明：  原代码包括捷联惯导初始对准程序,实用性强,便于学习(chushiduizhun)

这个Matlab程序实现最速下降算法。最速下降法是一种最基本的算法，它在最优化方法中占有重要地位.最速下降法的优点是工作量小，存储储变量较少,初始点要求不高；缺点是收敛慢，最速下降法适用于寻优过程的前期迭代或作为间插步骤，当接近极值点时，宜选用别种收敛快的算法. (The Matlab program to achieve the steepest descent algorithm. Steepest descent method is a basic algorithm, it occupies an important position in the optimization method. Advantage of the steepest descent method is the small amount of work, less storage reservoir variables, the initial point less demanding drawback is slow convergence, the steepest descent method for the optimization process of the early iterations, or as inserted steps are advised to use other kinds of fast convergence of the algorithm when close to the extreme point.)

2元BPSK调制加高斯信道硬判决统计误码率(2 yuan plus Gaussian channel BPSK modulation hard decision error rate statistics)

说明：  FFT 与LZW编码算法相结合，实现压缩功能，MATLAB仿真实现(FFT LZW compress)

自己编写的2维动态模型，运用卡尔曼滤波仿真。(I have written two-dimensional dynamic model, the use of Kalman filter simulation.)

实现haffuman编码的功能，可以正确运行仿真并实现正常的输出(Encoding functions to achieve haffuman)

OpenSteer libary for stering

C++与matlab混合编程实例，用于实现在VS2010中调用matlab程序(C++ and matlab mixed programming, call matlab program VS2010)