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计算二维图形的分形维数，比较好用，计算方便(Calculate the fractal dimension of a two-dimensional figure)

此算法可以识别大量物体中的圆形物体，使用者可更改公式，识别其他形状物体(This algorithm can identify a massive object of round objects, users can change the formula, identify other shape object)

对原有数据进行排列，找到它所在位置，求出符合要求的最小值(The original data are arranged in a position to find it, find the minimum to meet the requirements)

这是用Matlab编写的卡拉曼滤波程序，用于PPP精密单点定位。(It is written with Matlab Karaman filtering process, precise point positioning for the PPP.)

bp 网络逼近函数,作正弦函数逼近.对初学者来说是不错的例子.(bp network approximation functions for sine function approximation. For beginners is a good example.)

高阶谱分析工具箱（HOSA）中choices函数。(HOSA tool box s demo will call a function name choices. Copy this file to one of your MATLEB search path to fix the choices problem. )

基于matlab迭代学习控制的程序，结合simulink，用s函数编写(Matlab-based iterative learning control procedures, combined with simulink, written s function)

在rayleigh信道下能量检测是数值计算(energy detection)

Read a file into a matrix and display it on the screen using the MATLAB commands imagesc and axis.

说明：  ：DBSCAN是一个基于密度的聚类算法。该算法将具有足够高密度的区域划分为簇，并可以在带有“噪声”的空间数 据库中发现任意形状的聚类。但DtLqCAN算法没有考虑非空间属性，且DBSCAN算法需扫描空间数据库中每个点的e一 邻域来寻找聚类，这使得DBSCAN算法的应用受到了一定的局限。文中提出了一种基于DBSCAN的算法，可以处理非空 间属性，同时又可以加快聚类的速度。(: DBSCAN is a density-based clustering algorithm. The algorithm has a sufficiently high density area is divided into clusters, and to be with the &quot noise&quot found in the spatial database clusters of arbitrary shape. But DtLqCAN algorithm did not consider non-spatial attributes, and spatial database DBSCAN algorithm to be scanned for each point e in the neighborhood to find a cluster, DBSCAN algorithm which makes the application subject to certain limitations. In this paper, an algorithm based on DBSCAN can handle the non-spatial attributes, can also speed up the clustering speed.)