lc_passive

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.

电力系统潮流计算软件，最新版，可进行普通潮流、最优潮流计算、无功优化等。(optimization toolbox using a grid for optimal power flow and reactive power optimization)

Corrector dinamico de factor de potencia en simulink

64QAM 基于MATLAB调制解调仿真，部分(64QAM)

关于自适应滤波，均衡算法的几个M程序，采用的算法分别是LMS，NLMS，RLS等等(several matlab programs are about adaptive filter and equalization for communication system. The algorithm is LMS, NLMS and RLS.)

轨迹发生器,自动生成导航轨迹,可用于导航解算。(Trajectory generator, automatically generate the navigation path can be used in navigation solution)

说明：  用matlab中的GUI工具箱完成一个系统算法的欢迎界面。(Matlab GUI toolkit used in the algorithm to complete a system welcome screen.)

实现匹配滤波的matlab源代码,比较适合初学者！(Achieve matched filter matlab source code, suitable for beginners!)

matlab时频分析工具箱，时频分析需要(Matlab time-frequency analysis toolbox, time-frequency analysis needs)

基于复合形法，现采用编程来计算最优解，matlab程序和简要说明文档。(Based on the complex method, is used to calculate the optimal solution of programming, matlab program and a brief description of the document.)