EX1

移动最小二乘法效果的估计，很好的内容，可以参考(Moving Least Squares estimates of the effects, good content, you can refer to)

精通MATLAB数字图像处理与识别第二章练习代码(Proficient in MATLAB digital image processing and recognition chapter exercises code)

利用matlab进行QAM的误码率仿真。利用ofdm技术。(Using matlab QAM BER simulation. Use ofdm technology.)

DMC程序，利用MATLAB仿真的，供大家研究。(DMC procedure, the use of MATLAB simulation for the U.S. study.)

以实际所测随机中子脉冲数据的自相关函数为研究对象，借助仿真实验，开展Elman神经网络对不同浓度核材料进行识别的研究。在实测数据的基础上，通过叠加随机噪声，模拟产生了不同浓度核材料的相关函数样本用于神经网络的训练与测试，实验结果表明，(Calculating the stochastic neutron pulse autocorrelation function with the actually measured data as the research object, we carry out different simulate experiments in concentration identification of varied nuclear materials using Elman neural network. Superimposing random noise on the measured data, we get correlation function samples simulating the different concentrations of nuclear material for training and testing the neural network.)

毕设可能会用到的很好用的mimo程序，很重要计算信道的(Completed the set may be used with MIMO program, it is important to calculate the channel)

16PSK调制解调程序，经过仿真，没有问题(16PSK modulation and demodulation process, through simulation, there is no problem)

This project deals with modeling and simulation technique of a Dynamic Voltage Restore (DVR).The DVR is a dynamic solution for protection of critical loads from voltage sags / swells. The DVR restores constant load voltage and voltage wave form by injecting an appropriate voltage. Present novel structure improves power quality by compensating voltage sag and voltage swells. The transient response of any natural system is the way in which the response of the system behaves as a function of time. Electromagnetic transient studies have always played an essential behavior of the system in the event of different forms of transient phenomena, which can hardly be achieved by other means. This project addresses the transient studies of electrical networks with embedded, power electronics-based, FACTS and Custom Power (CP) controllers.

一个MATLAB版编的 神经网络程序 (MATLAB version of a series of the neural network programming)

鲁棒控制MATLAB示例，包括Hinf最优控制，Hinf控制，H2控制的代码。自己按照书上的例子编写的。(The robust control MATLAB examples, including the Hinf optimal control, Hinf control, H2 control code. Book in accordance with their own examples of the preparation of the.)