DBSCAN是一个基于密度的聚类算法。改算法将具有足够高度的区域划分为簇，并可以在带有“噪声”的空间数据库中发现任意形状的聚类。-DBSCAN is a density-based clustering algorithm. Algorithm change will have enough height to the regional cluster. and to be with the \"noise\" of the spatial database found clusters of

qpsk 在无噪声情况下的仿真结果 用于参考-qpsk case in the absence of noise simulation results for reference

1. BPSK modulation of data which ever you input (default data is “MANIPAL REDDY”). 2. MANIPAL REDDY is changed into ASCII Format and into two-bit format for BPSK Modulation. 3. Chaos is used for spreading the binary bit sequence. 4. Uniform