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PMSM的simulink模型，MATLAB版本6.5(PMSM the simulink model, MATLAB Version 6.5)

说明：  MATLAB神经网络工具箱理论与应用，解压后需用超星阅览器打开(MATLAB neural network toolbox theory and application, need to use SSReader open after decompression)

说明：  粗大误差的发现（包括源程序和编译后的程序）。利用常用的6种方法来检测数据中是否含有粗大误差。(The discovery of gross errors (including source code and compiled program). 6 using methods commonly used to detect the presence of gross errors in the data.)

利用matlab工具对于QPSK系统进行完整的仿真，对于深刻理解系统仿真有帮助，且包含很多分析，比较易懂(QPSK systems using matlab a complete tool for the simulation of a deep understanding of system simulation for the help, and contains a lot of analysis, is easier to understand)

Matlab Data Analysis.zip

在MATLAB环境下设计PCM码的编译码，并对比不同情况下的的编码进行对比。(In MATLAB environment design PCM code encoding and decoding, compare and contrast the different circumstances of the coding)

说明：  对信号进行小波变换，确定小波基的选择和分解层数，再求解信号的信息熵，可用于故障诊断。(The wavelet transform is performed on the signal to determine the selection and decomposition layers of the wavelet base, and then the information entropy of the signal is solved, which can be used for fault diagnosis.)

这几项M文件提供了扫描仪如何识别电子标签的方法，在许多场合都会涉及到这一类的智能识别。(This document provides a number of M scanner how to identify methods of electronic tag, in many occasions, will relate to this type of intelligent identification.)

利用灰色预测，经matlab编程，求出未来几年出版每门课程市场占有率情况，并进行级比检验、残差检验(Gray prediction by matlab programming, find the next few years, the market share of each course publishing, and to carry out class ratio test, residual test)

Support vector machine is a machine learning method that is widely used for data analyzing and pattern recognizing. The algorithm was invented by Vladimir Vapnik and the current standard incarnation was proposed by Corinna Cortes and Vladimir Vapnik. This application note is to helping understand the concept of support vector machine and how to build a simple support vector machine using Matlab