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- [1] Characterization and feature extraction of transient signals using multifractal measures, Canadian Conference on Electrical and Computer Engineering, Edmonton, Alta. L. Sun,W. Kinsner,N. Serinken. Canada, May 9-12 . 1999
INDIVIDUAL COMMUNICATION TRANSMITTER IDENTIFICATION BASED ON MULTIFRACTAL ANALYSIS
被引：1
作者：
Ren Chunhui Wei Ping Lou Zhiyou Xiao Xianci (Dept of Info. Eng.
机构：
关键词：
Fine-grained characteristics;
Individual identification;
Time-variant structure function;
Time-variant hierarchy exponents;
D O I：
暂无
中图分类号：
TN911 [通信理论];
学科分类号：
081002 ;
摘要：
In this letter, the communication transmitter transient signals are analyzed based on the time-variant hierarchy exponents of multifractal analysis. The species of optimized sample set is selected as the template of transmitter identification, so that the individual communication transmitter identification can be realized. The turn-on signals of four transmitters are used in the simulation. The experimental results show that the multifractal character of transmitter transient signals is an effective character of individual transmitter identification.
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页码：409 / 415
页数：7
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