轻松实现GM模型的操作 GM(1-N)

用广义最小二乘法辨识气动实验系统的参数，并采用最终误差预报估计模型阶次(Generalized Least Squares Identification of aerodynamic parameters of experimental system, using the final prediction error of the estimated model order)

CD传统多用户检测器的误码率比较（八个用户）(CD of traditional multi-user detector error rate (eight users))

funcion para determinar indices de desempe帽o

说明：  GA优化BP网络，matlab编程设置神经网络三层，并有数据测试验证(GA optimizes BP network, matlab programming sets up three layers of neural network, and has data test verification)

说明：  光学夫朗和费衍射现象模拟Matlab源代码 (Optical phenomenon of Fraunhofer diffraction simulation Matlab source code)

说明：  基于长记性特征的时间序列预测模型，很好用，准确度优于普通神经网络，我自己一直在用(Characteristics based on long memory time series forecasting model, the good, the accuracy is better than an ordinary neural network, I have been using)

morave code for matlab

详解在matlab中实现小波分析，介绍小波工具箱的使用(Describe the implementation of wavelet analysis in the matlab platform, and also introduce the use of wavelet toolbox)

有一个3阶对象，要求使用继电自整定方法对其实施自适应PID控制。 要求： 1、选择采样时间0.1s，把对象离散化。 2、加继电（开关）控制，测量对象的Tc,Kc。 3、利用ZIEGLER-NICHOLS 公式表，确定PID参数。 4、实现闭环控制。 5、根据调节效果，修正PID参数。 (A 3-order object, requires the use of relay self-tuning PID control methods on the implementation of adaptive. Requirements: 1, select the sampling time 0.1s, the discrete objects. 2, plus relay (switch) control, measurement object Tc, Kc. 3, using ZIEGLER-NICHOLS formula table, determine the PID parameters. 4, closed loop. 5, according to moderating effect, the amendment PID parameters.)

说明：  计算并绘制直方图. 绘制直方图的方法有很多，在此我用MATTAB中的一些代表性的绘制选项，使用函数bar\imhist(use function "bar" )