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模式识别经典书籍的Matlab源代码，很适合从事神经网络，模式分类方面的研究人员(Pattern Recognition classic books Matlab source code, it is suitable for neural networks, pattern classification, researchers)

说明：  利用MATLAB 提供的V2Realm Builder 建立倒立摆三维虚拟场景(V2Realm Builder using MATLAB provides three-dimensional virtual scene to establish an inverted pendulum)

matlAB 关于GUI编程的很好的学习资料。包括各种控件、菜单的设计(MATLAB GUI programming is a good learning materials. Including a variety of controls, menu design)

信道编码的相关源码,包括检错码,线性分组码,卷积码,Turbo码和低密度校验码(LDPC).(Source, channel coding error detection code, linear block codes, convolutional codes, Turbo codes and low density parity check code (LDPC).)

PWM 2 SIMULATION MODEL

DQM法求解输液管道的流致振动问题，求解临界流速。考察颤振失稳和发散失稳的失稳方式。(DQM pipeline flow infusion method induced vibration problems, solving the critical velocity. Investigated the flutter instability and divergence instability of the instability mode.)

一种有效提高线天线矩量法计算速度的新方法(A new method for calculating antenna moment method effectively improve the speed)

随机产生信息码求误码率 信息码长度（帧长64bit） 息码速率为10KHz（100us） 发送带宽20KHz（信息码速率的2倍） 发送信号功率2W 载波频率70MHz 采样频率280MHz（发送数据产生采样率） 20KHz方波 0KHz方波 0KHz方波高低电平采样点数 信息码采样点数 ASK调制的调制度ma=1-2/(2+alpha) 根据2ASK调制度确定alpha值(Random generation of information code for error rate 信息码长度（帧长64bit） Message length (64bit) 息码速率为10KHz（100us） The rate of interest rate is 10KHz (100US) 发送带宽20KHz（信息码速率的2倍） Transmission bandwidth 20KHz (2 times the rate of the information code) 发送信号功率2W Transmit signal power 2W 载波频率70MHz Carrier frequency 70MHz 采样频率280MHz（发送数据产生采样率） Sampling frequency 280MHz (transmit data generated sampling rate) 20KHz方波 20KHz Fang Bo 0KHz方波 0KHz Fang Bo 0KHz方波高低电平采样点数 0KHz square wave height sampling points 信息码采样点数 Information code sampling point ASK调制的调制度ma=1-2/(2+alpha) ASK modulation of the modulation system ma=1-2/ (2+alpha) 根据2ASK调制度确定alpha值 Determine the alpha value according to the 2ASK modulation system )

Matlab Wireless Communications 应用例程(Routine application of Matlab Wireless Communications)

基于Fisher线性判别的基因分类器的设计，里面有源程序(Fisher linear discriminant based on the gene classifier design, which has source code)