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瑞士苏黎世理工四螺旋桨直升飞机的仿真程序，已经作为课程讲解，值得借鉴和学习!(Polytechnic in Zurich, Switzerland four propeller helicopter simulation program has been explained as a curriculum, it is worth drawing on and learning!)

有关matlab simulink控制与仿真的很好的教程，可轻松教导你学会用该软件仿真控制系统(The matlab simulink control and simulation of a good tutorial to teach you easily learn to use the software control system simulation)

This function used for mapping gray data after equalization with many method into image.

说明：  使用matlab编码，人工神经网络手写体检测(Handwriting Detection Using Matlab Coding and Artificial Neural Network)

用matlab编写的可以随意旋转的小球游戏很好玩呦！(using Matlab can be prepared by the random rotation of the small ball game is a lot of fun putting us!)

自己搭的三相锁相环模拟电路，作业经过运行验证，能够很迅速的锁定电压电流相位。(Take their own three-phase PLL analog circuits, after running the verification, the lock can be very rapid phase of voltage and current.)

EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)

几种copon波束形成的算法---MATLAB版本(Several copon beamforming algorithm--- MATLAB version)

Contains a common array signal processing algorithm, Mainly for data analysis and statistics, Using high-order cumulants of MPSK signal modulation recognition.

说明：  本程序给出了最小二乘滤波算法的具体编程，程序中分析比较了自相关算法、协方差算法、前后向加窗算法的滤波效果(This procedure gives the least squares filtering algorithm specific programming, program analysis and comparison of the auto-correlation algorithm, covariance method, before and after windowing algorithm to the filtering effect)