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这是matlab环境下得语音识别系统的详细说明，主要针对说话人识别，对入门者来说非常实用(This is a detailed description of a speech recognition system in Matlab environment mainly for speaker recognition, very useful for beginners)

请拾取第一根线(LINE)或弧(ARC)连接线段或圆弧 ,再拾取第二根线(LINE)或弧(ARC)进行连接(Please pick up the first lines (LINE) or arc (ARC) connection line or arc, then picked up second line (LINE) or arc (ARC) connection)

说明：  matab遗传算法工具箱以及极限学习机+遗传算法优化压缩包(Genetic Algorithm toolbox for matlab 2020b and Limit learning machine + genetic algorithm optimization package)

说明：  OFDM系统功能仿真，很好很强大，嗯嗯嗯(OFDM system, functional simulation, very good very strong, er er er)

本程序是计算深海远场情况下的声源定位，首先要编译海洋环境文件（包含阵元信息），利用Krakren程序计算本征函数和本征模态，再利用本程序的子程序计算拷贝向量，然后合成声源信号，最后根据匹配场的程序进行匹配定位，由于数据量比较大，计算区域如果选的比较大的话，计算时间就比较长，酌情选择。(This procedure is to calculate the far-field sound source localization in case of deep sea, we must first compile the marine environment file (containing the array element information), use Krakren program to calculate the intrinsic function and the intrinsic mode, and then use a subroutine to copy the program to calculate the vector then synthesized excitation signal, the final match to locate the matching field program, because a large amount of data to calculate the area if the election is relatively large, the calculation time is relatively long, discretionary selection.)

是学习PCA特征提取的很好的学习资料，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，最大似然（ML）准则和最大后验概率（MAP）准则。( Is a good learning materials to learn PCA feature extraction, ofdm system simulation including 16qam modulation fft windowing modules plus cp, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.)

直接型IIR滤波器实现源代码，希望与大家共同分享！(Direct IIR filter source code, I hope to share with you!)

基于修改模型的冲突证据组合方法,林志贵,上 海 交 通 大 学学报(Based on the modified model of the conflict in the evidence combination method,林志贵, Journal of Shanghai Jiaotong University)

说明：  迭代学习控制的matlab算法，看看对大家伙有没有帮助(Matlab iterative learning control algorithm to see if there is no help for the big guys)

Read video into MATLAB using aviread and alculate the background image . Initialization for Kalman Filtering. Calculate the difference image to extract pixels with more thanthreshold change. and Plot the tracking rectangle after Kalman filtering