JParticleFilteringforDynamic

这个程序是基于ＭＡＴＡＬＢ平台实现的，由于本程序是自己编的，所以还有不足的地方如那位大侠有好的建议请提出(This procedure is based on the MATALB platform, as a result of this process is allocated its own, so there are less than places such as the heroes who have put forward good suggestions, please)

倒立摆的源代码希望对你有用，分享一下看看，希望对你有用(The source code for inverted pendulum useful to you want to share it and see, you want to be useful)

一个用matlab语言编写的俄罗斯方块游戏(a prepared using Matlab language of the Russian box game)

本代码是用来读取图像的，并把图像归入到一个矩阵中(This code is used to read the image and the image classified into a matrix)

BEATFREQ是matlab函数，可以用来寻找两个震荡子的拍频。(BEATFREQ is a matlab function, can be used to finds the beat frequency of two oscillations.)

matlab与VPI联合仿真，QAM 相位纠正程序(matlab QAM)

lda算法，用于特征降维，可以将特征映射到更加易于区分的空间(FISHER DISCRIMINANT ANALYSIS WITH KERNELS)

动态矩阵预测控制m语言程序，使用平台matlab。内有注解便于修改(M dynamic matrix predictive control language program, use the platform matlab. There are easy to modify Notes)

基于FPGA的system generator的图像旋转处理，利用system generator的图像旋转处理程序。本程序是基于system generator下的matlab运行。(FPGA-based image processing system generator rotation, the use of image rotation system generator handler. This procedure is based on matlab run under the system generator.)

1.采用C均值聚类算法对男女生样本数据中的身高、体重2个特征进行聚类分析，考察不同的类别初始值以及类别数对聚类结果的影响，并以友好的方式图示化结果。 2.采用分级聚类算法对男女生样本数据进行聚类分析。分别尝试采用身高，体重，喜欢数学，喜欢文学，喜欢运动，喜欢模式识别共6个特征，以及身高，体重2个特征进行聚类，对比聚类结果，并以友好的方式图示化结果 (1. The use of C means clustering algorithm on sample data for boys and girls in the height, weight 2 characterized in cluster analysis to investigate the initial values of the different categories and the effect on the number of classes of the clustering result, and in a friendly way of illustration result. 2. Using hierarchical clustering algorithm to male and female students sample data clustering analysis. Try both using height, weight, like math, like literature, like sports, like pattern recognition feature a total of six, as well as height, weight, two features clustering, comparing clustering results, and in a friendly way of illustration of the results)