Lab10

时间序列实验 ARMA模型的EVIEWS操作(arma MODEL EVIEWS AND DOCUMENTS)

matlab的使用方式，对编程有很大帮助，有程序，方便学(It is good to you if you have time to learn matlab.)

说明：  该程序给出了cohesive单元的刚度矩阵及其在有限元程序中的实现方法。(This program gives the stiffness matrix of the cohesive element and its realization method in the finite element program.)

gui创建，主要是创建的第一个GUI，本来是学习gui的好东西；所以上传分享给大家(gui creation, mainly the first GUI creation, had good things to learn gui upload and share it for everyone)

经典小波包分解，并计算各频带能量，能量比等参数(wavelet package decomposition and energy of frequency band)

该文件中包含二次规划中涉及的matlab程序，包含拉格朗日法以及起作用集法(This file contains the quadratic programming matlab procedures involved, including the Lagrangian method and set method works)

该程序主要完成jeffcott转子圆周碰摩故障仿真，包括设置初始条件，转子系统参数等(rub-impacting of rotor)

为了提高使用精度，研究了某型号MEMS陀螺仪的随机漂移模型。采用游程检验法分析了 该陀螺仪随机漂移数据的平稳性，并根据该漂移为均值非平稳、方差平稳的随机过程的结论， 采用梯度径向基（RBF）神经网络对漂移数据进行了建模。实验结果表明：相比经典RBF网络模 型而言，这种方法建立的模型能更好地描述MEMS陀螺仪的漂移特；相对于季节时间序列模型而 言，其补偿效果提高了大约15％。(In order to improve accuracy, to study a particular model of the MEMS gyroscope random drift model. Using run-length analysis of the test gyro random drift data stationarity, and in accordance with the drift for the average non-stationary, the variance of the random process a smooth conclusion, the use of gradient radial basis (RBF) neural network drift data to build mode. The experimental results show that: compared to the classical RBF network model, this method of establishing a model to better describe the MEMS gyroscope drift special compared with the seasonal time series model, the effect of their compensation increased by approximately 15.)

matlab examples.Viewing the magnitude response of ideal and practical lowpass filters

小波包去噪，用小波包去除一维信号的噪声,分解小波包系数画图说明比较全面(Wavelet Packet Denoising using wavelet packet to remove the noise of a one-dimensional signal decomposition wavelet packet coefficients drawing the more comprehensive)