mallet-0.3.2.tar

TWISTER Uniformly distributed pseudo-random numbers

在同一坐标内，分别用不同线型和颜色绘制曲线y1=0.2e-0.5xcos(4πx) 和y2=2e-0.5xcos(πx)，标记两曲线交叉点。( In the identical coordinates, separately uses different linear and color curve y1=0.2e-0.5xcos (4 pi x) and y2=2e-0.5xcos (pi x), marks two curves intersections. )

基于MATLAB 6.x开发，通过鼠标点击拖拽可以画出带箭头的线段。(ARROW may be called with a normal argument list or a property-based list. ARROW(Start,Stop,Length,BaseAngle,TipAngle,Width,Page,CrossDir) is the full normal argument list, where all but the Start and Stop points are optional. If you need to specify a later argument (e.g., Page) but want default values of earlier ones (e.g., TipAngle), pass an empty matrix for the earlier ones (e.g., TipAngle=[]).)

说明：  matlab程序解非线性方程KVD方程，非常方便(matlab)

移动通信系统中正交频分复用OFDM的matlab仿真，包括调制和解调等(Mobile communication system in orthogonal frequency division multiplexing OFDM matlab simulation, including the modulation and demodulation, etc)

同态滤波,matlab程序，可利用此程序实现同态滤波 去薄云等功能(Homomorphic filter)

对一幅被随机值冲击噪声污染的图像，用偏微分方法进行恢复，使用的模型是Total Varience(image restoration using TV model, remove random noise)

matlab endpoints.rar 函数源代码(matlab endpoints.rar functions)

16qam matlab仿真 QAM调制的MATLAB仿真程序，是深入理解调制解调的一个很好的例子(。-QAM modulation MATLAB simulation program, an in-depth understanding of modulation and demodulation of a good example)

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.)