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anpr code detailed segmentation of license plate njy

说明：  基于密度的聚类算法因其抗噪声能力强和能发现任意形状的簇等优点，在聚类分析中被广泛采用，本文提出 的基于相对密度的聚类算法，在继承上述优点的基础上。有效地解决了基于密度的聚类结果对参数值过于敏感、参数 值难以设置以厦高密度簇完全被相连的低密度簇所包含等问题。(Density-based clustering algorithm because of its strong resistance to noise and can find clusters of arbitrary shape, etc., in the cluster analysis is widely used, the proposed clustering algorithm based on the relative density, in succession on the basis of the above-mentioned advantages. Effectively solve the density-based clustering results on the parameter value is too sensitive, difficult to set the parameter value to high-density clusters of buildings connected to the low-density clusters are completely contained and other issues.)

《MATLAB程序设计教程》电子教案～～～有助于matlab学习(" MATLAB Programming Guide" e-lesson plans ~ ~ ~ help matlab learning)

ALOHA协议程序。[Traffic,S,Delay]=aloha(capture)(ALOHA protocol procedures。[Traffic,S,Delay]=aloha(capture))

采用PSO算法，以成本最小为目标函数，对蓄电池和超级电容的容量进行了优化(Using PSO algorithm to minimize the cost as the objective function of the capacity of the battery and super capacitor has been optimized)

针对无线射频识别(radio frequency identification，RFID)系统的多标签碰撞问题，在分析RFID标签编码规则的基础上，提出根据标签编码规则进行标签分组和标签预淘汰的方法，在读写器识别的初始阶段根据特定的规则淘汰部分标签，从而减少系统工量，提高系统工作效率.实例证明：在不增加标签结构复杂度的基础上，充分利用已有的有效信息能够有效减少阅读器的查询次数和系统的总通信量．(For radio frequency identification (radio frequency identification, RFID) system is a multi-tag collision problem, based on the analysis of the RFID tag encoding rules based on the proposed label grouping and labeling pre-elimination method according to the label encoding rules identified in the initial reader phase-out of the label according to specific rules, thus reducing the amount of system engineering, to improve system efficiency examples demonstrate: the label without increasing the complexity of the structure on the basis of full and effective use of existing information can be effective in reducing the number of queries and reader total traffic of the system.)

这是一本讲述matlab中涉及到统计方面的知道书籍，特别是对采样，GIbbs采样，都有很好的示例。(This is the one involved in matlab about statistics to know the book, especially for sampling, GIbbs sample, there are good examples.)

One block matching implementation for motion estimation in sequence images

高精度的matlab求微分方程组的边值问题的bvp6 c的解算器，精度高于常用的bvp4c。(bvp6c solver for ode bvps in matlab)

250KV line simulation program