xingtailvbo

使用MATLAB自带的函数，实现了50Hz带阻滤波器，其中的参数可以修改，即可以实现任意频率的陷波器。(Achieved a 50Hz notch filter)

pso pid的研究与控制，有源程序及simulink模型，分三个模块(pso pid)

计算已知激励频率以及平板厚度情形下的Lamb波传播组群速度及相速度(calculate Lamb waves phase velocity and group velocity)

世界潮汐模型，可以精确计算全球海洋潮汐的变化，非常实用(global sea level model)

说明：  matlab读取raw视频并显示并加上聚类增强(Matlab reading raw video)

完全按照论文Face Recogniton Using Eigenfaces设计的PCA源码，无解压密码(in full accordance with the thesis Face Recogniton located Using Eigenfaces PCA of source code, without extracting passwords)

说明：  用matlab实现卡尔曼滤波对三状态的信号进行滤除噪声(Kalman filter with matlab the three states to filter out the noise signal)

this code is of median filtering. this code is only for 3x3 window.

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!

分类器的训练与学习是模式识别的一个重要环节,其目的在于按照某种算法,确定判决规则,使之具有自动分类识别的能力。本文介绍了采用Parzen窗法的随机模式分类器,并matlab实现了一个简易的随机模式分类器。(Classifier training and learning is an important part of pattern recognition, in accordance with the purpose of some kind of algorithm to determine the decision rules to identify with the ability of automatic classification. This paper introduces the Parzen window method using a random pattern classifier, and achieved a simple matlab random pattern classifier.)