LMSPandPVSS_LMS

数字控制系统是一种以数字计算机为控制器去控制具有连续工作状态的被控对象的闭环控制系统。因此，数字控制系统包括工作于离散状态下的数字计算机和工作于连续状态下的被控对象两大部分。我的课题的数字部分（PID）仿真由相应的离散传函实现，运用数字PID对被控对象实行准确控制。通过调节比例（P）、积分（I）、微分（D），使对象的输出达到预期的效果。(Digital control system is a kind of digital computer for the controller to control a continuous state of the object and closed loop control system. Therefore, the digital control system, including work on the discrete state of the digital computer and work in a continuous state of the plant is two parts. My topic of digital section (PID) simulation by the realization of the corresponding discrete transfer function using the digital PID control of the plant is implemented accurately. By adjusting the ratio of (P), integral (I), differential (D), so that the output of the object to achieve the desired results.)

基于小波变换的正交匹配追踪算法及其应用先介绍了压缩感知的基本原理以及理论模型，然后详细阐述了匹配追踪(Ⅷ)以及正交匹配追踪(()脚) 两种重构算法，进而提出了基于小波变换的正交匹配追踪算法(wOⅧ)，即先将信号经过单层小波变换，保留信号的 低频部分，只对高频稀疏部分进行压缩，然后利用正交匹配追踪算法进行重构，最后对低频及处理后得到的高频部分 进行小波反变换得到重构信号。(Based on orthogonal wavelet transform matching tracking algorithm and its application to the basic principles and theoretical models compressed sensing, and then elaborated matching pursuit (Ⅷ) and orthogonal matching pursuit )

说明：  pmsm的观测器matlab函数，基于ESO理论编写(Matlab function of PMSM observer, based on ESO theory)

MATLAB语言程序设计教程(电子图书），关于MATLAB的使用。(MATLAB Programming Language Guide (electronic books), on the use of MATLAB.)

采用离散余弦变换和霍夫曼编码，对图像进行压缩存储，并且完成解压缩(Discrete cosine transform and Huffman coding, the image compression and storage, and complete decompression)

说明：  调频连续波雷达信号仿真，以及信号处理过程仿真，适合初学者以及急需FMCW信号仿真的用户(FMCW radar signal simulation, as well as signal processing simulation, take triangle wave modulation as an example, code writing is standard, code annotation is excellent. Suitable for beginners and users in urgent need of FMCW signal simulation)

多个电力电子、电机仿真模型。是重要的学习电力电子simulink 仿真的素材，权威教材，内容较多，分成上下两集,这个是下(useful simulink modles for leaners)

增量SVM的实例，用于对手势的在线增量学习，有很详细的源码，并实现了SVM的多分类问题，对于模式识别和学习SVM有很大的帮助(Instance of the incremental SVM for gesture online incremental learning, there is a very detailed source, and to achieve a multi-SVM classification, pattern recognition and learning SVM great help)

a workitem can sleep but it should be aware of how that sleep might affect others.

campos de direcciones hechios en matlab con codigo abierto