project

轨道根数与位置速度互化,对于初学轨道知识的人有一定的用处。(Orbital velocity and position of each of, for beginners who have some knowledge of the track usefulness.)

说明：  立体匹配 计算机视觉 SSD+SAD+NCC算法(SSD+SAD+NCC algorithm)

说明：  VMD分解和emd分解的源代码，可以用的的的的的的(VMD,variational mode decomposition)

该程序是牛拉法的极坐标潮流计算，已经再33节点进行验证成功(The program is the calculation of the polar coordinate flow of the calf method)

说明：  图着色局部搜索,图着色问题（Graph Coloring Problem, GCP） 又称着色问题，是最著名的NP-完全问题之一。道路着色问题（Road Coloring Problem）是图论中最著名的猜想之一。 数学定义：给定一个无向图G=（V, E），其中V为顶点集合，E为边集合，图着色问题即为将V分为K个颜色组，每个组形成一个独立集，即其中没有相邻的顶点。其优化版本是希望获得最小的K值。(Graph Coloring Problem (Graph Coloring Problem, GCP), also known as coloring problem, is one of the most famous NP-complete problems. The Road Coloring Problem is one of the most famous conjectures in graph theory. Mathematical definition: Given an undirected graph G=(V, E), where V is the set of vertices and E is the set of edges, the graph coloring problem is to divide V into K color groups, and each group forms an independent set. That is, there are no adjacent vertices. The optimized version is to get the smallest K value.)

说明：  控制旁瓣级的一种波束形成方法，与凹槽噪声法同原理(A beamforming method for controlling the sidelobe level is the same as the notch noise method)

Jsp JDBC连接MsSQL/MYSQL/Oracle各种数据库代码集，采用多种方式连接各种常用的数据库： 　　1.连接ACCESS 　　http://127.0.0.1:8080/Access/access.jsp 　　 　　2.连接SQL Server2000 　　http://127.0.0.1:8080/SQLServer/mssql.jsp.jsp //JDBC-ODBC 　　http://127.0.0.1:8080/SQLServer/testmssql.jsp //JDBC驱动 　　 　　3.连接Oracle 9i 　　http://127.0.0.1:8080/Oracle/oracle9_thin.jsp //thin模式 　　http://127.0.0.1:8080/Oracle/oracle9_oci.jsp //OCI模式 　　 　　4.连接MySQL 　　http://127.0.0.1:8080/MySQL/mysql.jsp 　　

数据结构实验：实现两表达式算术求和 任务：能够按照指数降序排列建立并输出多项式； 能够完成两个多项式的相加、相减，并将结果输入； -experimental data structure : achieving two arithmetic expressions Summation tasks : According to index in descending order and the establishment of export polynomial; to complete the combined two polynomials, subtraction, and the results input;

利用VB开发的推箱子小游戏，支持自定义地图及关卡。可完美编译运行，是学习游戏开发的好材料。

说明：  论述了多种时频分析方法,其中包括短时傅里叶变换、Cohen类时频分布、Hilbert-Huang变换、引入小波包分解的改进型Hilbert-Huang变换、(Various time-frequency analysis methods are discussed, including short-time Fourier transform, Cohen class time-frequency distribution, Hilbert-Huang transform, improved Hilbert-Huang transform with wavelet packet decomposition.)