Quantum-inspired genetic algorithm based time-frequency atom decomposition

被引：0
|
作者：
Zhang, Gexiang [1 ]
Rong, Haina [1 ]
机构：
[1] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Sichuan, Peoples R China
来源：
COMPUTATIONAL SCIENCE - ICCS 2007, PT 4, PROCEEDINGS | 2007年 / 4490卷
基金：
中国国家自然科学基金;
关键词：
quantum-inspired genetic algorithm; time-frequency atom decomposition; fast implementation algorithm;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The main problem of time-frequency atom decomposition (TFAD) lies in an extremely high computational load. This paper presents a fast implementation method based on quantum-inspired genetic algorithm (QGA). Instead of finding the optimal atom in greedy implementation algorithm, this method is to search a satisfactory atom in every iteration of TFAD. Making full use of QGA's advantages such as good global search capability, rapid convergence and short computing time, the method reduces greatly the computational load of TFAD. Experiments conducted on radar emitter signals verify the effectiveness and practicality of the introduced method.
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页码：243 / +
页数：2
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