GMSK

利用神经网络自校订、自学习功能在线整定PID(using neural network self-editing, self-learning function online tuning PID)

计算齿轮故障，对齿轮进行时域分析（计算时域信号的各统计特征值）和频域分析（进行傅里叶变换，计算功率谱）(analysis of the gear )

说明：  利用蚁群算法解决TSP问题，本例涉及了31个城市并将其坐标化，每个城市只能拜访一次，而且最后要回到初始城市，所选路径为所有路径之中的最小值。(Using ant colony algorithm to solve TSP problem, this example involves 31 cities and coordinates them, each city can only visit once, and finally return to the initial City, the selected path is the minimum of all paths.)

非侵入式的测量骨头的厚度，利用超声导波的方法。(Noninvasive assessment of human jawbone using ultrasonic guided waves)

digital signal prossing

Adaptive Contrast Enhancmentusing Low Pass Gaussian Filter

实现了基于matlab的牛顿环模拟程序，设置成为GUI的形式，更加人性化！非常直观！光电专业的可以看看哟！(Implemented based on the Newton rings matlab simulation program, set in the form of a GUI, more user-friendly! Very intuitive! Optical professional can look at yo!)

The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform. For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x -[0, 1] for k = 0,1,2 ...,N -1 where N = 2n.( The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform. For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x-[0, 1] for k = 0,1,2 ...,N-1 where N = 2n.)

对数据进行reof处理，得到数据的空间模态和时间系数(Matlab function of reof)

这是利用matlab进行数字图像处理的入门教程，非常管用。(This is the use of matlab digital image processing of how-to tutorials, very useful.)