Published May 2021 | Version v1
Journal article

Stochastic resonance induced weak signal enhancement over controllable potential-well asymmetry

  • 1. College of Information Engineering, Nanjing University of Finance and Economics, Nanjing 210023 (China)
  • 2. School of Mechanical Engineering and Mechanics, Ningbo University, Ningbo 315211, Zhejiang (China)
  • 3. College of Modern Posts, Nanjing University of Posts and Telecommunications, Nanjing 210003 (China)
  • 4. Department of Electrical Engineering and Information Systems, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113–8656 (Japan)

Description

A dynamical model submerged in two colored multiplicative and additive noises by colored cross-correlation is established to elaborate controllable asymmetric potential-well with depth-asymmetry and width-asymmetry. We deduce the approximate signal-to-noise ratio (SNR) as widely adopted indicator for quantifying stochastic resonance (SR) behavior in accordance with the two-state theory, where the largest SNR peaks are almost attained in the asymmetry case. Moreover, the non-monotonic resonance curves excited by the incremental multiplicative colored noise intensity show the typical SR phenomenon and the SNR peaks decline as the additive colored noise intensity increases, the SR behavior induced by multiplicative colored noise is different from that induced by varying additive one. Noteworthy, the self-correlation time of alternative noises are more effective for controlling SR than cross-correlation time of noises. More interestingly, the output SNR demonstrates double resonance peaks by varying the cross-correlation intensity from negative to positive, however, the two local optimal cross-correlation intensities are almost maintained constant as the increasing of additive noise intensity. Even the large asymmetric well-depth is always beneficial to the improvement of SNR in comparison with well-width asymmetry at the same situation, which is due to the much more energy harvesting from the noises.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2021.110845

Additional details

Identifiers

DOI
10.1016/j.chaos.2021.110845;
PII
S0960077921001983;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
146
Journal Page Range
vp.
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53098820
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
ASYMMETRY; SIGNALS; SIGNAL-TO-NOISE RATIO; STOCHASTIC PROCESSES
Descriptors DEC
DIMENSIONLESS NUMBERS

Optional Information

Copyright
Copyright (c) 2021 Elsevier Ltd. All rights reserved.