mianjiechuhuakuairunhua

报告第二部分给出了均衡器结构以及迫零均衡器和最小均方误差均衡器理论推导，第三部分 给出了均衡器的 Matlab 仿真；第四部分给出了两种均衡器的仿真结果及对比；附录给出了两种 均衡器的 Matlab 程序，总的程序，以及托普利兹矩阵与卷积作比较和自相关的计算。(The second part of the report gives the theoretical derivation of the equalizer structure and the zero-forcing equalizer and the minimum mean-square error equalizer. The third part gives the Matlab simulation of the equalizer. The fourth part gives the simulation results of the two equalizers And contrast; Appendix gives two kinds of equalizer Matlab program, the total program, as well as the comparison and autocorrelation of Toledith matrix and convolution calculations.)

在自动控制系统的过程中，白噪声的产生方法，MIT 稳定方程 持续时间 稳定时间(The automatic control system of the process, the white noise generation method, MIT stabilization stabilization time duration equation)

在matlab中编写关于支持向量机进行回归分析的源代码M文件。(In matlab to write about support vector machine for regression analysis of source code M file.)

GVF snakes implementation

这是我自己写的knn的算法，实现了聚类，比较简单(This is what I wrote it myself knn algorithm implements clustering, relatively simple)

说明：  层次分析法计算权重，判断矩阵一致性检验的Matlab源程序代码(Analytic Hierarchy Process (AHP) calculates weight and judges Matlab source code for matrix consistency checking)

利用超星阅览器阅读的书籍，介绍关于Matlab的使用方法(Use Chaoxing reader to read books, information on the use of Matlab)

MATLAB环境下FIR滤波器的设计与仿真(MATLAB environment FIR filter design and simulation)

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.)

核密度估计的源码，kernel density estimation，从官方渠道获得(Source kernel density estimation, kernel density estimation)