a1

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.

设计一个低通滤波系统，任意输入三个频率使输入的信号中留下频率最低的 一个分量。(Designed a low-pass filter system, indiscriminate importation of the three input signal frequency so that left one of the lowest frequency component.)

这个程序是关于多元峰值函数的的例程，新手和老手都会从中得益。(This process is about the multi-peak function of the routines, and newcomers and old hands will benefit from it.)

Elementary Linear Algebra

用MATLab仿真了基于矩量法的V形阵子天线的方向图和天线上的电流分布图(With MATLab simulation time around based on the method of moments of the V-shaped antenna pattern and antenna current distribution)

模块化多电平空间矢量脉冲调制，谐波含量少(Two level space vector pulse modulation)

巴特沃思滤波器，低通，可自由修改参数进行低通滤波(Butterworth filter, low pass, be free to modify the parameters of low-pass filter)

4QAM下FMT系统误码率性能分析，包含原型滤波器、多相滤波器等代码。——analysis of BER performance of FMT system with 4QAM,including ProtoFilter and polyphase filter(FMT system under 4QAM BER performance analysis, including the prototype filters, polyphase filters, such as code.- Analysis of BER performance of FMT system with 4QAM, including ProtoFilter and polyphase filter)

指纹识别 　　 　　(FingerPrint Recognition )

pca故障检测可用于TE过程数据故障检测(pca fault detection Pca fault detection can be used for TE process data fault detection)