munteng_v27

：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.)

说明：  m file for computing the eign values using matlab , it was a simple college project

基于主成分分解的波束形成，对于学习波束形成非常有帮助。(a good example for studying PCI beamforming.)

PSO聚类算法使用的数据是我们归一化后的数据，利用该数据求总的粒子数m,设置聚类数c（c=4,这个可以确定的），随机选择聚类中心并赋值给各个粒子，随机产生粒子的速度；(PSO clustering algorithm using data owned by a data after the data requirements to the total number of particles in m, set the number of clusters c (c = 4, this can be determined), the random selection of cluster centers and assigned to the each particle velocity of the particles, randomly generated )

说明：  matlab实现霍夫曼编码，计算编码效率并分析结果(matlab huffman code)

说明：  可在MATLAB生成的fig图像中再创建一个图框，用于显示曲线、图形的局部放大。(A frame can be created in the fig image generated by MATLAB, which can be used to display the local magnification of curves and graphs.)

用matlab编写的三角函数曲线M文件一(Prepared using matlab file a trigonometric curve M)

雷达有多个模式，建立一个雷达数据库，用灰关联分析的方法对雷达进行模式识别(Radar has multiple modes, the establishment of a radar database, using gray relational analysis method for pattern recognition radar)

Kalman相关的Matlab代码，还不错，比较全。(Kalman Matlab code associated with, well, more full.)

学习matlab的好资料第3部分，再此共享下啦。参考参考(Good information to learn matlab Part 3, then under this shared friends. Reference Reference)