data-mining

MSK和GMSK数字调制方式的比较，主要利用simulink模块来实现仿真。(Comparison between GMSK-Modulation (GSM standard), MSK Type A-Modulation and MSK Type B-Modulation)

s变换和广义s变换( s transformation and generalized s transformation)

一些Matlab编程的例子...有用的话请顶一下...谢了! (matlab sam)

说明：  伪随机码或称PN码，是扩频通信中不可缺少的一种序列。扩频通信，简单的说来就是通过一组相关性很强的伪随机序列，使原有的信号按照伪随机序列的特性出现。从波形上看，原有信号完全淹没于随机的噪声中，达到隐藏信号和抗干扰的目的。接受方只要有相同的伪随机序列，就可以通过伪随机序列很强的相关性将信号还原出来。而m序列，是扩频系统中最长用的伪随机序列。下面的代码就是基于matlab的生成m序列的代码，通过改变初始多项式的值，就可以生成不同阶数的m序列。(Pseudo-random code or PN code, spread spectrum communication is indispensable to a sequence. Spread spectrum communication, a simple to say that the adoption of a group of highly related to pseudo-random sequence, so that the original signal in accordance with the characteristics of pseudo-random sequence there. From the wave point of view, the original signal completely submerged in the random noise to hide the purpose of signal and interference. As long as the recipient has the same pseudo-random sequence, the pseudo-random sequence can be a strong correlation to restore the signal out. And m sequence spread spectrum system is the longest of the pseudo-random sequence used. The following code is generated based on m sequences of matlab code, by changing the value of the initial polynomial, we can generate a different order of the m sequence.)

A matlab tutorial to design PMSM motor speed control systems

用ESPRIT算法对面阵（平行线阵）方位角与俯仰角进行联合估计( Estimated jointly with the ESPRIT algorithm the opposite array (parallel linear array) azimuth and pitch angle)

这是进行自适应均衡的关键一步 很重要哦!!!还有一部分内容没有上载(This is a key step adaptive equalizer is very important Oh!!! There are not a part of the content uploaded)

matlab实现视频读取的文件，欢迎参考使用(matlab to read the files of video, please reference)

AR过程的线性建模与功率谱估计 自相关值和Yule-Walker法(自相关法) 协方差法； Burg方法； 修正协方差法。(The linear AR process modeling and power spectrum estimation of autocorrelation and Yule-Walker method (autocorrelation) covariance method Burg method modified covariance method.)

content based image retri for functioning with matlab java visual studio