BCH_matlab

这是一份MATLAB基础课件，由于我也是初学者，这部课件讲的很浅显，但比较适合初学者对MATLAB所有功能的一个初步了解内容包括涵数值数组及其运算， M文件和面向对象编成， 字符串数组， 符号变量， matlab 绘图 及 Simulnk动态仿真。以及两个基本浅显的程序题。此为第 4章。(This is a basic MATLAB courseware, because I am also a beginner, this software is very simple-speaking, but more suitable for beginners of all the features of MATLAB, a preliminary understanding of the content including the Han and its numerical array computing, M documents and for object into string array, variable symbols, matlab graphics and dynamic simulation Simulnk. As well as the two basic procedures for simple questions. This is Chapter 4.)

K-means源码，用matlab实现，共有两个例子，简单易学(K-means source code, using matlab realize, there are two examples, easy to learn)

信号稀疏表示是一种新兴的信号分析和综合方法，其目的就是在过完备字典中用尽可能少的原子来表示信号。采用时频原子字典的信号稀疏表示能够有效地揭示非平稳信号的时变特征。信号稀疏表示吸引了研究者的大量关注，这种方法已经被应用到信号处理的许多方面，例如非平稳信号分析，信号编码、识别与信号去噪等。(Signal sparse representation is a new method of signal analysis and synthesis, and its purpose is in over-complete dictionary of atoms using as little as possible to represent the signal. When using frequency atom dictionary signal sparse representation can effectively reveal the time-varying characteristics of non-stationary signals. Signal sparse representation attracted a lot of attention of researchers, this method has been applied to many aspects of signal processing, such as non-stationary signal analysis, signal encoding, recognition and signal denoising.)

电压型PWM整流器整流，svpwm，电压电流双环控制(Voltage type PWM rectifier rectification, svpwm, voltage and current double loop control)

This simulation file is in matlab software and is about the pwm closed loop chopper.

说明：  用MATLAB深度学习进行雷达辐射源信号分选识别(Radar emitter signal sorting and recognition with MATLAB deep learning)

多元验前信息下的贝叶斯融合算法，以指数型寿命电子产品为例。。(Multivariate Bayesian prior information fusion algorithm)

matlab 有关于面积计算的程序，周长，圆的面积(matlab calculation programs on the area, perimeter, area of ​ ​ a circle)

先进PID控制及其MATLAB仿真（刘金琨）书籍，第一章程序，学习PID算法的可以参考(Advanced PID control and MATLAB simulation (LiuJinKun) books, the first chapter, study of PID algorithm can reference)

很有用的控制工具箱函数．大家可以看看，应该会对大家有帮助的(useful toolbox control function. As we can see, we should be able to help)