Signal Detection Based on Stochastic Resonance

被引：0

作者：

Zhao, Yan ^{[1
]}

Xu, Xin-Zhou ^{[1
]}

Zhao, Li ^{[1
]}

机构：

[1] Southeast Univ, Sch Informat Sci & Engn, Nanjing, Jiangsu, Peoples R China

来源：

International Conference on Mechanics, Building Material and Civil Engineering (MBMCE 2015) | 2015年

关键词：

Stochastic Resonance; Langevin Equation; Signal Detection; NOISE;

D O I：

暂无

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

In this paper, stochastic resonance theory is used in signal detection. Here, we mainly talk about the bistable form, in which Langevin equation has been adopted. This paper gives the basic theory and its mathematical reduction of stochastic resonance. Then, some simulations are listed to manifest the performance of this method in signal detection when some parameters change. According to the experiment, the method of stochastic resonance is effective in signal detection.

引用

页码：155 / 161

页数：7

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