MMZE

超宽带测距中，选目的节点和参考节点。输入节点数量为N和希望的参考节点数量为K，函数返回一个表示目的的节点的整数Nx和一个K维的包括了参考节点ID号的矢量Ref。(Ultra-Wideband Ranging choose destination node and reference nodes. The number of input nodes for N and hope the number of reference node K, the purpose of function that returns a whole number of nodes Nx and including a K-dimensional reference vector of node ID No. Ref.)

基于Newton-Rapuson方法的配电网潮流计算的matlab源程序(power flow calculate matlab program)

说明：  改进的AR时间序列分析模型，加入了窗口的概念，源码里有实例(Improved AR time series analysis model, adding the concept of the window, there are instances where the source)

matlab 编写的惯导定位程序，可以直接运行(INS positioning written in matlab program can be run directly)

MATLAB通信仿真及应用实例详解,很不错的一本书(MATLAB simulation and application example explanation of communication, very good book)

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.)

此资料是自动控制原理实验的具体步骤，能够帮助更好的使用matlab进行PID等控制实验(This information is the principle of automatic control experiment concrete steps can help make better use of matlab PID control experiment)

用matlab语言写的模式识别中的线性分类器设计 简单的线性分类器设计是模式识别中的重要算法设计(Pattern recognition with matlab language written in a simple linear classifier design a linear classifier design is an important algorithm design for pattern recognition)

Matlab Help [Italian]

该程序分别提取正负样本图像的HOG和LBP特征，利用支持向量机进行样本训练，得到行人分类器。利用训练好的分类器进行检测，实验结果表明，该方法可以有效检测出图像中的行人，并达到了较好的检测结果。(A novel approach based on combining Histogram of oriented gradients (HOG) and LocalBinary Pattern(LBP) is suggested in the program.Also liner SVM is acted as the classifier,and the experiment suggests that the method can better deal with human detection.)