Matlabjulibaohu

说明：  MATLAB扩展编程+何强编着+PDF电子书 非常金典(He Qiang MATLAB Extended Programming+ ed+ PDF eBook)

弹簧的matlab/simulink仿真模型，包括GUI可视化操作界面GUI的程序(Spring matlab/simulink simulation model, including the GUI visualization GUI interface program)

多目标线性规划的编程方法，算法指导,值得参考，很好用(Programming method for multi-objective linear programming algorithm guidance)

stochastic subspace identification code

本MATLAB程序是基于离散粒子群算法的可中断负荷的优化计算(The MATLAB program is a discrete particle swarm optimization algorithm based on interruptible load calculation)

说明：  对一个16元等距线阵，间距为半个波长，空间5个相互独立信源从不 同方向入射，信噪比分别为30、25、20、15、5dB。采用MUSIC方法估 计其空间入射方向(For a 16 element equidistant linear array, the spacing is half a wavelength, and five independent sources are incident from different directions. The SNR is 30, 25, 20, 15 and 5dB respectively. Music method is used to estimate the spatial incident direction)

带simth补偿的pid控制器主要用于纯滞后系统的pid温度控制，属于改进型的pid控制器。本simulink仿真为毕业设计内容，运行效果良好。本例设定温度200度，参数之类可以根据需要自由修改(Smith compensation with pid controller mainly used for pure delay systems pid temperature control, are improved pid controller. The simulink simulation content for the graduation project, run well. In this case temperature of 200 degrees, like the parameters can be modified according to need freedom)

代码——Matlab 如何截取视频中的每一帧图像并保存(Code- Matlab how to intercept each frame in the video image and save)

次程序是用MATLAB语言编写的高斯赛德尔迭代法，可用于求解线性微分方程组。(Second procedure is used MATLAB language high Sisaideer iterative method can be used to solve linear differential equations.)

语音识别是近年来发展非常迅速的一项计算机智能技术，广泛应用在语音控制、身份识别等多个领域。本次项目主要研究语音识别的预处理过程和特征参数的提取环节。通过对原始语音信号进行预加重和分帧、加窗，滤除低频干扰，提升对语音识别有用的部分，消除了部分噪音和失真。预处理之后进行信号的特征提取，主要选取了短时平均过零率和MFCC两个特征参数，应用matlab软件绘制波形图并提取特征参数矩阵，为之后的语音信号的识别打下了基础。(Speech recognition is a computer intelligent technology which has developed rapidly in recent years. It is widely used in speech control, identity recognition and other fields. This project mainly studies the pretreatment of speech recognition and the extraction of feature parameters. Through pre-emphasis, framing and windowing of the original speech signal, the low frequency interference is filtered out, the useful part of speech recognition is enhanced, and some noise and distortion are eliminated. After pretreatment, feature extraction of signal is carried out. Two feature parameters, short-term average zero-crossing rate and MFCC, are selected. Waveform diagram is drawn by MATLAB software and feature parameter matrix is extracted, which lays a foundation for speech signal recognition.)