CS_OMP

用离散数学或图论的术语来说，假设有一个图g=(v,e)，其中v是顶点集，e是边集，设d=(dij)是由顶点i和顶点j之间的距离所组成的距离矩阵，旅行商问题就是求出一条通过所有顶点且每个顶点只通过一次的具有最短距离的回路。 (Discrete Mathematics or use the terminology of graph theory, assume that a graph g = (v, e), where v is the vertex set, e is the edge set, let d = (dij) is a vertex between i and vertex j formed from the distance matrix, a traveling salesman problem is obtained through all the vertices and each vertex only once has the shortest distance through the loop.)

本程序为使用剩余矩形排样法排样的矩形件排样程序，应用matlab软件编程制作。程序能够根据用户输入的排样方案对给定的25块矩形件在宽为15的板材中进行排样，并绘制矩形件排样图。(This procedure is used to drain the remaining rectangular nesting nesting kind of rectangular pieces of the program, application software programming matlab produced. Program can be ranked based on user input for a given sample solution 25 in the width of a rectangular piece of sheet 15 in the nesting, and draw a rectangular piece nesting map.)

粒子群算法，自带测试函数 (Particle swarm optimization algorithm)

说明：  S变换是较新的时频分析工具，甩在低频段有较宽的的时间窗，以获得较高的频率分辨率；而在高频段时间窗窄，以获得较高的时间分辨率。这里给出了ST和GST（广义S变换）的函数。(S transform is a relatively new time-frequency analysis tool, left in the low frequency band has a wide time window in order to obtain higher frequency resolution and in high-frequency narrow time window in order to obtain higher temporal resolution. Here are given ST and GST (generalized S transform) function.)

说明：  包含很多matlab实用程序，设计各个方面的应用。(Matlab contains a lot of utility, design all aspects of the application.)

这个程序是用SLM算法抑制峰均功率比的matlab仿真程序，对100000个OFDM符号进行统计然后表征算法对PAPR的改进程度，绝对可以运行(this process is inhibited by SLM algorithm PAPR of Matlab simulation program, to 100,000 OFDM symbols statistical algorithm then characterization of the degree of the improvement PAPR, absolutely can run)

matlab编程 基于颜色和纹理的图像检索系统(matlab programming based on the color and texture of the image retri system)

Beam space MUSIC algorithm source beam space MUSIC algorithm source

數學function的用法 這個使用的方法對於數學界很重要 提供function使得 很多人不用在自己寫的很痛苦(ceiling method)

Implement the split and merge procedure for segmenting