motor

本程序利用平方环实现载波同步，使用锁相环进行跟踪相位偏移(This program makes use of the square ring to achieve carrier synchronization, with the use of PLL to track the phase shift)

这是一个基于马尔科夫链的蒙特卡罗历程，可以帮助初学者理解mcmc(based on a Markov chain Monte Carlo process, can help beginners understand MCMC )

这是matlab中S函数的编写手册，给想用simulink作控制的提供了一个好的载体。(This is a matlab function in S to prepare manuals, to want to use simulink for control provides a good vehicle.)

Main.m为粒子群算法程序,属于优化类，data.txt为粒子群算法的数据文件(The Main.m particle swarm optimization procedures, belonging to the optimization class data file data.txt for the particle swarm algorithm)

单泡声致发光的中气泡半径的计算及其分析。(Calculation and analysis of single bubble sonoluminescence bubble radius.)

matlab高级讲义，希望对初学者有用。里面有根讲义配套的程序代码(matlab advanced lectures, I hope it will be useful for beginners)

卡尔曼滤波在INS GPS组合导航系统中的应用，非常适用哦。(Kalman Filtering in INS GPS navigation system, is ideal for Oh.)

内插五分钟程序 很好的数据处理补全程序内插五分钟程序 很好的数据处理补全程序(Five minutes interpolation data processing procedures good complement within five minutes of the whole program instrumentation program complement good data processing procedures)

利用matlab读取TXT文档并显示，统计文档中某个字符出现的概率并显示，输入替换字符对文档中的某个字符进行替换。(Matlab TXT file to read and display the probability of occurrence of a certain character in the statistical document and display, enter the replacement characters to replace one of the characters in the document.)

说明：  支持向量机最初用来解决模式识别问题，目的是发现泛化性能好的决策规则。然而，随着Vapnik的 不敏感损失函数的引入，支持向量机已经扩展为解决非线性回归估计问题，而且与神经网络方法相比，有着显著的优越性，被认为是人工神经网络方法的替代方法，已经成为目前机器学习领域的研究热点和焦点。(Support vector machine (SVM) was originally used to solve the problem of pattern recognition. However, with the introduction of Vapnik's insensitive loss function, support vector machine (SVM) has been extended to solve the problem of nonlinear regression estimation. Compared with neural network method, support vector machine (SVM) has obvious advantages. It is considered as an alternative method of artificial neural network method, and has become the research hotspot and focus in the field of machine learning.)