miuling

这是matlab6.5 的使用方法，通过学习该书，可以精通matlab(This is matlab6.5 to use, by learning the book can be proficient in matlab)

开关磁阻电机，sin型转矩分配函数，转矩控制，较小转矩脉动(Switched reluctance motor, sin-type torque distribution function, torque control, a small torque ripple)

说明：  matlab中的二维布朗随机运动模型的算法代码(matlab in two dimensional Brownian motion model stochastic algorithm code)

PAPR Simulation using PTS based on Muller and Huber paper.

数字信号处理的各主要部分知识点的MAtlab实现(Digital signal processing point of the main part of the knowledge to achieve MAtlab)

windmill turbine models

利用類神經網路對Schwefel22測試函數建立模型，為此Schwefel22函數設立4個變數，模擬資料100筆，測試資料50筆，並將上述資料以倒傳遞類神經網路MATLAB2013a軟體，利用其具有學習及記憶能力加以訓練及測試(The use of neural network modeling of Schwefel22 test functions, established for this purpose Schwefel22 function four variables, simulation data 100 pen, 50 pen test data, and these data to back-propagation neural network MATLAB2013a software, the use of which has learning and the ability to be trained and tested memory)

digital modulation techniques

无线电通信正交频移键控调制解调程序源码，给出输入数字信息序列，经调制后得到解调结果(QPSK for wireless electronic communication)

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.)