|Table of Contents|

Stochastic Resonance of Compound Weak Signal(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2022年04期
Page:
26-34
Research Field:
物理学
Publishing date:

Info

Title:
Stochastic Resonance of Compound Weak Signal
Author(s):
Zha Jindao1; Li Chunbiao2; Lei Tengfei3; 4
(1.Jiangsu Vocational Institute of Commerce,Nanjing 211168,China)
(2.School of Artificial Intelligence,Nanjing University of Information Science & Technology,Nanjing 210044,China)
(3.Collaborative Innovation Center of Memristive Computing Application,Qilu Institute of Technology,Jinan 250200,China)
(4.Engineering Research Center of Shandong Sino-German Smart Factory Application,Jinan 250200,China)
Keywords:
stochastic resonance; Langevin equation; signal-to-noise ratio; differential evolution algorithm
PACS:
TH133.33
DOI:
10.3969/j.issn.1001-4616.2022.04.005
Abstract:
A unified definition of signal-to-noise ratio for the stochastic resonance of compound periodic and aperiodic weak signal is proposed according to the adiabatic approximation theory,based on that the fitness function to optimize the parameters of the stochastic resonance system is constructed by differential evolution algorithm. Theoretical analysis and numerical simulation proves the effectiveness of the proposed method of stochastic resonance. When the input signal contains multiple-frequency weak signals,the specific frequency signal with larger energy can be separated out; If the input weak compound signal contains multiple-frequency components modulated by signum function,the one with larger energy can also be extracted effectively; If the input weak compound signal contains multiple-pulse signals with almost approximate energy,all of them can be extracted effectively.

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Last Update: 2022-12-15