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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.)

Simulation codes of Terahertz Interleave Division Multiple Access System under ook modulation (ook THZ IDMA system simulation)

okada模型是地震、地壳形变、断层等反演中常用的且重要的反演模型。程序包基于MATLAB开发，功能齐全、有数据。(okada model of an earthquake, crustal deformation, fault and other commonly used and important inversion of the inversion model. Package based on MATLAB development, full-featured, with the data.)

PCA主成分分析算法的matlab实现，经过测试可以运行(PCA method in matlab)

基于高频电磁散射的物理光学法用于计算散射目标的RCS (Based on high-frequency electromagnetic scattering of the physical optics method used to calculate the scattering target RCS)

这个主要是3D图像显示的一个matlab程序(matlab code on 3D plot )

fft应用直观显示调制解调的过程 matlab程序(fft application)

用matlab编写的关于无线网络仿真的源码例子(Prepared using matlab source code on the example of wireless network simulation)

无约束连续函数优化的人工蚁群算法通用MATLAB源码 此源码是对人工蚁群算法的一种实现，用于无约束连续函数的优化求解，对于含有约束的情况，可以先使用罚函数等方法，把问题处理成无约束的模型，再使用本源码进行求解 (Unconstrained optimization of continuous function of artificial ant colony algorithm for general-purpose MATLAB source code。 This source code is an implementation of artificial ant colony algorithm for unconstrained optimization of continuous function to solve for the case containing the constraints, you can first use the penalty function and other methods to deal with the problem into the unconstrained model, then use the origin codes solving)

this is related soft copy of books.in robust control