PN_Phase_Trace

利用matlab神经网络对齿轮箱进行故障诊断，程序经调试完全好用(Matlab neural network used for fault diagnosis of gear box, easy to use program by the debugging of)

FCM聚类算法 已经通过调试，可以直接使用。(FCM clustering algorithm has been through debugging, can be used directly.)

The random walker algorithm was introduced in the paper: Leo Grady and Gareth Funka-Lea, "Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials", in Proceedings of the 8th ECCV04, Workshop on Computer Vision Approaches to Medical Image Analysis and Mathematical Methods in Biomedical Image Analysis, p. 230-245, May 15th, 2004, Prague, Czech Republic, Springer-Verlag. Available at: http://cns.bu.edu/~lgrady/grady2004multilabel.pdf

这是个数字信号处理的burg算法的 matlab实现,里面各个参数可调,效果非常不错(This is a digital signal processing matlab algorithm to achieve burg, which adjustable parameters, the effect is very good)

利用matlab把遥感影像，进行滤波处理。窗口可以选择3*3,5*5,7*7.。。(Using matlab to remote sensing image filtering. Window, you can choose 3* 3,5* 5,7* 7)

matlab编程函数，很详细，很有用(Matlab programming function matlab matlab programming function Matlab programming function programming function matlab programming function)

地球物理勘探中重力资料解释的主要目的是由地表观测值推断地下可能存在的密度分布。众所周知,任何一组重力数据都可能由无数个密度分布所引起。即使假设了重力异常是由具有均匀密度差的单一地质体产生的,也得不出唯一的解。画图(Gravity geophysical exploration data interpretation main purpose is inferred from surface observations may exist underground density distribution. Is known, any set of data may be provided by gravity density caused numerous. Even assuming that the gravity anomaly is determined by having a uniform density difference arising from a single geological body, they have no unique solution. Paint)

它是基于均匀圆阵的波达方向估计MUSIC算法程序。(It is DOA estimation based on uniform circular arrays MUSIC algorithm)

说明：  《MATLAB 7.0编程基础》第7章 （源码实例）主要讲解MATLAB句柄图形对象("MATLAB 7.0 programming foundation" Chapter 7 (source code examples) mainly on MATLAB handle graphical object)

将小波相邻系数相关性的降噪思想引入到冗余第2代小波中，提出了基于邻域相关性的冗余第2代小波降噪方法，该方法克服了传统阈值降噪没有考虑小波系数之间相关性的不足。(Aiming at fault feature extraction in the background of strong noise, a wavelet denoising idea by incorporating neighboring coefficients is introduced into redundant second generation wavelet case. A denoising method of redundant second generation wavelet using neighbor dependency is presented. It overcomes the deficiency of traditional thresholding approaches. In this method, an original signal is decomposed by redundant second generation wavelet, and the detail and approximation signals have the same length as the original signal. The detail signals at each scale are then processed by neighbor dependency. Finally, the approximation signal and processed detail signals are reconstructed by inverse transform of redundant second generation wavelet to realize the signal denoising. )