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16QAM仿真系统，学通信实验必备，绝对有用。(16QAM simulation system, learning communication experiment must absolutely useful.)

语音信号处理。例如：滤波、检测、增强、估计、识别、谱分析(Speech Signal Processing. For example: filtering, detection, enhancement, estimation, identification, spectral analysis)

说明：   用MATLAB语言编写的程序，称为M文件。M文件可以根据调用方式的不同分为两类：命令文件(Script File)和函数文件(Function File)。(Language with the MATLAB program, called the M file. M files can call the different ways into two categories: command file (Script File), and function files (Function File).)

说明：  用matlab实现连续视频的分割与采集，其中用读视频指令把连续的视频转化为一帧一帧的图像，用帧间差分法和背景差分法实现(Matlab for continuous video with the segmentation and the acquisition, including video instruction with the reading of the continuous video into a frame of an image, with the frames and the background difference method difference method to achieve)

简单的Preisach模型，在Matlab中的建模，用于压电陶瓷输入输出曲线的拟合。(Simple Preisach model in Matlab modeling for piezoelectric ceramic input and output curve fitting.)

本文是个人整理的，对S函数的原理做了基本介绍，然后对S函数的面板进行了详细的注解，算是加入了自己理解的翻译(This article is the personal finishing basic principle function of S, then the S-function panel detailed annotations, regarded as adding their own understanding of the translation)

1、系统仅处于训练状态。训练序列为2cos(2π×f1×n/fs)， 干扰为sin(2π×f2×n/fs)；序列长度为100个样点。 其中n=0…99，f1=1kHz，f2=2kHz，fs=8kHz。 2、采用LMS算法，均衡器输入为训练序列加上干扰，均衡器阶数为21阶，步长因子β=0.01。 3、在Matlab中编写浮点LMS算法，绘制均衡器的输出波形，并与训练序列进行对比。 (1, the system only in the training status. The training sequence is 2cos (2πf1n/fs), interference sin (2πf2n/fs) sequence length of 100 samples. Where n = 0 ... 99, f1 = 1kHz, f2 = 2kHz, fs = 8kHz. 2, using LMS algorithm, the input to the equalizer training sequence plus interference equalizer order is 21 bands, step factor β = 0.01. 3, the preparation of the floating-point LMS algorithm in Matlab, draw the output waveform equalizer, and with the training sequence comparison.)

matlab实现，主要实现wiener滤波、qrst复合波检测、RR间期检测(Matlab realization main Wiener filter, qrst composite wave detection, RR interval detection, etc.)

通过改变想要处理的帧，和预测器阶数，对原始语音帧和预测语音帧作一个比较，并作出短时谱和lpc谱，最后作倒谱比较。(By changing the processing of the desired frame, and the predictor order, the original speech frame and the predicted speech frame to make a comparison and to make short-term spectrum and the lpc spectrum, cepstrum last for comparison.)

谱系聚类发 给定聚类点数可得到聚类中心 很好很强大(Hierarchical clustering distributed clustering fixed points can be obtained very powerful cluster centers)