Parameter-induced Stochastic Resonance in Wireless Sensor Network Signal Processing

被引：1
|
作者：
Zhao Zikai [1 ]
Hui Guohua [2 ]
机构：
[1] China Jiliang Univ, Coll Mech & Elect Engn, Hangzhou 310018, Peoples R China
[2] Zhejiang Gongshang Univ, Coll Food Sci & Biotechnol, Hangzhou 310035, Zhejiang, Peoples R China
来源：
NANOTECHNOLOGY AND COMPUTER ENGINEERING | 2010年 / 121-122卷
关键词：
stochastic resonance; double well potential model; systematic parameter; noise intensity; signal-to-noise ratio; NEURAL-NETWORKS;
D O I：
10.4028/www.scientific.net/AMR.121-122.646
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Parameter-induced stochastic resonance (PSR) using double potential well model was focused in this paper. Based on the former stochastic resonance study, system parameter mu was used to explore the resonance characteristics. A bluetooth-based wireless sensor network (WSN) was adopted to obtain the experimental data for parameter-induced stochastic resonance simulating. Under fixed noise intensity range, the changes of system parameter mu led to a systematic output resonance. Simulating results demonstrated that the systematic parameter mu could lead to stochastic resonance at signal processing level.
引用
收藏
页码：646 / +
页数：2
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