signal_denoising1

MATLAB 学习资料,关于GUI界面编程好书(MATLAB learning materials, a good book on the GUI interface programming)

this program finds the number of zero crossings in a given signal.

2013年研究生数学建模比赛某题目使用的高斯扩散模型(In 2013 the Graduate School of mathematical modeling competition a subject using the Gauss diffusion model)

Matlab处理水电站开挖过程中收集的点云数据(Matlab processing point cloud data collected during the excavation of hydropower station)

dudu and hart chapter 2 excersise

展示了如何生成一个随机无标度网络图，基本结构分析，包括度分布、聚类系数等。观察两种类型的攻击对网络的影响：随机攻击（所有的几点有相同的概率从网络中删除）、有目标地选择连接度最大的节点（节点度最大的节点从网络中删除）。(Shows how to generate a random scale-free network graph, basic structural analysis, including degree distribution, clustering coefficients, etc. Observe the impact of two types of attacks on the network: Random attacks (all points have the same probability of being removed from the network), and select the node with the highest degree of connectivity (the node with the highest node degree is removed from the network).)

emd，eemd以及去噪性能指标的一些函数(Some functions of EMD, EEMD and denoising performance index)

冲击理论指的是计算结构响应的风动荡。这里,结构是一个吊桥,使用连续梁的理论建模。介绍模态耦合模型，尽可能的简单计算横向,纵向和扭转响应。结构的方法是使用。是专为那些已经拥有一些知识领域的随机振动分析和对结构风荷载。(The buffeting theory [1,2] refers to the computation of the response of a structure to wind turbulence. Here, the structure is a suspension bridge, modeled using the theory of continuous beam [3]. The frequency domain approach is used. I did not introduce modal coupling to keep the model as simple as possible. The present script computes the lateral, vertical and torsional response. A multi-modes approach is used. This script is designed for those who already have some knowledge in the field of random vibration analysis and wind loading on structures. )

PID控制方法讲解与举例，里面教你如何建模与调试。英文版本(PID control method to explain with an example, which teach you how to modeling and debugging. English version)

这是在MATLAB下生成的彩色条纹,对于傅里叶变换很有用,可以扩大实验的研究范围,更好的设计实验(This is generated in the MATLAB color stripes, for the Fourier transform useful in expanding the scope of experimental research, and better design of experiments)