TY - GEN
T1 - Enhancement of stochastic resonance with tuning noise and system parameters
AU - Wu, Xingxing
AU - Jiang, Zhong Ping
AU - Repperger, Daniel W.
PY - 2006
Y1 - 2006
N2 - Stochastic resonance has been increasingly used for signal estimation, signal transmission, signal detection and image processing. The stochastic resonance effect can be realized by tuning system parameters or by adding noise. In our recent paper, we have investigated the possibility to enhance the aperiodic stochastic resonance (ASR) effect by tuning system parameters and adding noise simultaneously for the Gaussian-distribution weak input signal. This paper extends the result to a more general case using standard optimization theory. It is shown that the normalized power norm of the bistable double-well system with a small input signal can reach a larger maximal value by this scheme. An on-line fast-converging optimization algorithm is also proposed for searching the optimal values of system parameters and noise intensity.
AB - Stochastic resonance has been increasingly used for signal estimation, signal transmission, signal detection and image processing. The stochastic resonance effect can be realized by tuning system parameters or by adding noise. In our recent paper, we have investigated the possibility to enhance the aperiodic stochastic resonance (ASR) effect by tuning system parameters and adding noise simultaneously for the Gaussian-distribution weak input signal. This paper extends the result to a more general case using standard optimization theory. It is shown that the normalized power norm of the bistable double-well system with a small input signal can reach a larger maximal value by this scheme. An on-line fast-converging optimization algorithm is also proposed for searching the optimal values of system parameters and noise intensity.
KW - Optimization
KW - Signal processing
KW - Stochastic resonance
UR - http://www.scopus.com/inward/record.url?scp=34047239008&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34047239008&partnerID=8YFLogxK
U2 - 10.1109/WCICA.2006.1712669
DO - 10.1109/WCICA.2006.1712669
M3 - Conference contribution
AN - SCOPUS:34047239008
SN - 1424403324
SN - 9781424403325
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 1823
EP - 1827
BT - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
T2 - 6th World Congress on Intelligent Control and Automation, WCICA 2006
Y2 - 21 June 2006 through 23 June 2006
ER -