eryuan1

这是一段MATLAB程序，是在神经网络模型下进行辨识，只要将程序中部分数字改变成你想要的，就能运用了。(This is a MATLAB program is to identify under the neural network model, as long as the program part of the figure change to what you want, you can use the.)

说明：  matlab写的运动检测 自动实现 十分有用的代码 值得学习！(Motion detection matlab automatically write the code should be very useful to learn!)

基于T-S模糊模型的PDH算法，文件里包含一个实例，以便理解。(PDH algorithm based on TS fuzzy model, the file contains one instance, in order to understand.)

东南大学的《结构模态分析及其损伤诊断》，系统地介绍了结构模态信号处理的算法，是模态信号处理编程和学习的必备选择。(" Modal Analysis and Damage Diagnosis" Southeast University, introduced the algorithm modal signal processing, signal processing modal learning programming and necessary choice.)

根据条形光波导折射率数据，分别针对宽高比a:b为1:1与2:1两种情形，设计平板波导色散图(Planar waveguide dispersion map )

This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust. It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse: ax^2 + bxy + cy^2 + dx + ey + f = 0, i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters (This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust. It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse: ax^2+ bxy+ cy^2+ dx+ ey+ f = 0, i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters )

数字图像处理课程上机实验3_Matlab邻域平均法 和中值滤波法（matlab代码全）(Digital Image Processing courses on experiments 3_Matlab neighborhood average and median filtering method (matlab code full))

Adaptive Volume Rendering using Fuzzy Logic Control

GEnetic algorithm for problems

LTSA[19] is based on the intuition that when a manifold is correctly unfolded, all of the tangent hyperplanes to the manifold will become aligned. It begins by computing the k-nearest neighbors of every point. It computes the tangent space at every point by computing the d-first principal components in each local neighborhood. It then optimizes to find an embedding that aligns the tangent spaces.