scfig27

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.)

利用相关分析法对系统进行辨识，使用matlab,能够成功辨识出系统传递函数(Correlation analysis method using the system identification, the use of matlab, can successfully identify the system transfer function)

Rls算法源程序2 采用更新的自适应算法，实现滤波功能。(Rls algorithm source code 2, using the updated adaptive algorithm filtering.)

MATLAB课件 包含了基本和最常用的应用函数，可以在短时间内帮你学会使用MATLAB(MATLAB LESSONS the basic functions you may use mostly )

MATLAB 通信原理 QPSK调制 源代码文件(Communication Theory QPSK modulation MATLAB source code files)

这是一款实现是在vs2005编程过程中，如何调用matlab7的代码的软件，着实可用(This is a realization in vs2005 programming process, how to call matlab7 code of the software is, indeed, can be used)

the algorithm is canny edge detector that is used to detect edges in an image.

shannon编码，其中讲了一些香农编码的步骤，而且有shannon编码的程序(shannon encoding, which made some of the steps Shannon coding, and coding procedures shannon)

In this interface, you can control the sources (type, frequency, length, represented points), the mixture (elements of the mixing matrix and nonlinears functions in the post nonlinears cases), the different parameters of noise, the separating algorithm (choice between two algorithms and associated parameters) and the parameters of denoising.(All the algorithms simulated in this package have been designed by Massoud BABAIE-ZADEH during his PhD thesis, prepared in the Images and Signals Laboratory (LIS) of Institut National Polytechnique de Grenoble (INPG), under the supervision of Christian JUTTEN.)

algorthium for the cllections digital signal processing applications usin the matlab