Fourth-order-runge-kutta-formula

图像编码与压缩是数字信息时代的重要工具，在日常生活中都有广泛应用。该程序以matlab为平台，实现图像的压缩与融合。(Image coding and compression of digital information age is an important tool in their daily lives are widely used. Matlab in the program as a platform to achieve image compression and integration.)

说明：  用matlab的simulink做的对选择式分集进行的测试 及性能验证。(Using matlab to do the simulink of Selective sub-set of testing and performance validation.)

说明：  基于matlab GUI的数字滤波器源程序(The digital filter based on source code matlab GUI)

利用MATLAB对隧道衬砌结构耐久性的HL方法结构可靠度计算(Tunnel lining using MATLAB HL durability of structural reliability calculation method)

It describes about the mapping function in the PAM with constellation

主要是用来K均值聚类，K值按照自己的需要设置并将聚类结果保存到相应目录下的excel文档中(Mainly used K-means clustering, K value is set according to their needs and clustering results are saved to the appropriate directory under the excel document)

Minhashing和LSH算法。用于查找和比较一个pair是否是相似的。并分析false negative和false positive的值(Minhashing and Locality-Sensitive-Hashing (LSH). The algorithms are approximate in that they find only candidate pairs that are likely similar. Therefore, there are two types of error. A false positive (FP) is a candidate pair that is not actually similar according to the given similarity threshold. A false negative (FN) is a similar pair that is not a candidate pair. In this project, we will implement the Minhashing and LSH algorithms, apply them on data sets, and draw observations about when these algorithms perform. )

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)

turb0c的使用说明，其中详细阐述了该集成开发环境的使用方法(turb0c' s instructions, which detail the use of integrated development environment)

master code receiver