整理好的模式识别领域的数据处理matlab例程

说明：  在matlab环境下的点击控制系统仿真图，包括程序的编写，不同情况下的控制效果等等。(Click in the matlab environment control system simulation diagram, including the procedures for the preparation, control performance under different conditions and so on.)

说明：  根据自适应模糊控制原理，设计自适应律，并设计simlink主程序和控制器S函数，对机器人单臂机械手进行自适应模糊控制。(fuzzy adaptive control )

说明：  在现代信号处理领域非常重要的方法。这是最新的改进算法！(in modern signal processing field is very important way. This is the latest improved algorithm!)

数值分析课程老师给的程序集，包括C和F还有matlab的程序，希望对学习数值分析的同学有所帮助~(Numerical analysis course teacher assembly, including the C and F also matlab program, hope to learn numerical analysis help students ~)

这是一个完整的OFDM通信系统仿真代码。包括信源编码信源调制，信道编码，信道估计，峰均抑制比等。实际程序可用直接运行。(This is a complete OFDM communication system simulation code. Including the source modulation source coding, channel coding, channel estimation, peak to average ratio suppression. The actual procedure can be run directly.)

SVPWM控制的有源滤波器matlab simulink仿真(Matlab Simulink simulation of active filter based on SVPWM control)

（本文是在论坛已有一篇文章《SIRP法相干相关K分布雷达杂波的建模与仿真》的基础上修改而来，在此首先感谢这篇文章的作者给予我的帮助。之所以完成这篇文章，有三个方面的原因：一是对原文章和仿真程序代码明显存在一些不一致的地方，因此，我这里对每个公式进行检验（后来证明文章的公式正确无误，但所给的仿真代码存在问题），二是对自己近4天工作的一个总结，以便以后学习可以参考；三是可以放在网上给初学者一些参考，以便后来者不再走自己曾经走过的弯路。文章的一些文字是在匆忙间完成，只求能表达所述意思，没有详细斟酌，海涵：））((This article is an article in the forum have been "SIRP law related coherent K distributed clutter radar modeling and simulation" on modified from the foundation, in this first of all thank the authors of this article has given me help. The reason why the completion of this articles, there are three reasons: First, the original article and simulation program code, there are some obvious inconsistencies, so I here the formula for each test (later proven formula article is correct, but give the simulation code problem exist), near two of their four days of a summary of the job in order to study the future reference three on-line can give some reference for beginners in order to go was no longer the tortuous path they have traversed. article of some language is in a rush to complete, only to express the meaning as described, did not elaborate, as appropriate, Haihan:)))

matlab高级图形界面设计实例，文件中包含了两个matlab GUI 实例(matlab graphical interface design example, the file contains two Matlab GUI instances)

关于信号处理方面音效移频中解析信号的产生方法，该方法让人耳目一新，通过先设计频域，再求逆，时域上进行采样，得到两个FIR滤波器逼近希尔伯特变换器。(Aboat an efficient method of analytical signal generation in audio frequency shift.This method refreshing, first design in the frequency domain, then sampling in the time domain, getting two FIR filters approximate Hilbert transform.)

GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper - in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.(GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper- in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.)