摘要
时频分析的主要研究对象是非平稳或时变信号,它能清楚地揭示信号的时变频谱特性,在信号处理中有着非常重要的作用。本文介绍了时频分析中常用的离散短时傅立叶变换(STFT)及序列维格纳变换(WD)的DSP算法及它们各自的特点和具体应用。并给出了两者在具体的信号瞬时频率估计中的应用及在Matlab上的仿真结果。
In order to improve the efficiency of tag identification. After a series comparision of the original binary algorithm RFID[1]system anti-collision algorithm, proposing an improved mean on the basic of its defective portion. It is used to aimed at the most significant bit of the collision to identify the tag,when the reader identificate the new tag secondly in the origional algorithm.The improved algorithm is used to identify out the collision bits, combining the pointer and stackto improve the efficiency of the algorithm when the reader identify the tags. So that the new tag ID in the tag collision bits is carried out extractly. So every label command will be decreased than the original algorithm[2]. Then the total number of bits transmitted and the transmission time is reduced significantly, and the tag ID can be identified more quickly and efficiently.
出处
《自动化与仪器仪表》
2015年第7期161-163,共3页
Automation & Instrumentation
关键词
二进制算法
射频识别
防碰撞算法
标签碰撞
Binary algorithm
Radio frequency identification
Anti-collision algorithm
Tag collision
