HLMethod2

Vapnik-Cheervonenkis (VC) Dimension 􀂇 Support Vector Machines 􀂇 SVM Applications 􀂇 Committee machines 􀂇 PAC Learning 􀂇 Boosting 􀂇 “No Free Lunch” Theorem(Vapnik-Cheervonenkis (VC) Dimension 􀂇 Support Vector Machines 􀂇 SVM Applications 􀂇 Committee machines 􀂇 PAC Learning 􀂇 Boosting 􀂇 " No Free Lunch" Theorem)

说明：  使用卡尔曼滤波器对信号进行滤波，不局限于工频干扰的频率，简单方便(Kalman filter using the signal filtering, frequency interference is not limited to frequency, simple)

最优信息法，有序样品聚类——最优分割，本才采用二分割方法(Optimal information method, ordinal clustering- the best split, the two split)

matlab编程的一些入门资料，包括基本操作指南，具体语法及算法(matlab programming some introductory information, including basic operating guidelines, the specific syntax and algorithm)

运用matlab编程实现ARX模型中的参数确定(ARX model)

multi - objective optimisation

：提出一种基于独立成分分析（ICA）和位隙动态分组技术的超高频（UHF）射频识别（RFID）多标签防碰撞算法。利用ICA 算法实现多目标的同时识别，利用动态位隙标签分组保证阅读器同时读取的标签数少于或等 于其天线数，从而使ICA 工作于非欠定状态(A novel ultra high frequency (UHF) radio frequency identification（RFID）anti-collision algorithm based on independent components analysis (ICA) and dynamic bit-slot grouping technology was proposed. The ICA algorithm was used for identifying several tags simultaneously. The dynamic bit-slot tags grouping technology was used for ensuring the number of tags read by a reader at the same time was less than or equal to its antennas’ number, and enabling the ICA wouldn’t work in an underdetermined state. Theoretical analysis and simulated experimental results show that the tags identification rate of the proposed algorithm is far more than that of traditional stochastic or deterministic TDMA RFID anti-collision algorithms.)

MPLABde 使用指南 和C指针库(jjdkkddkkdjjd)

天线近场到远场的变换，可实现近场采样数据到远场方向图数据的转换(antenna near field data to far field)

world sat ultimate bin ab sat decrypter for stm 5000 ng 9000