DocumentCode :
2565770
Title :
A new piecewise-linear stochastic resonance model
Author :
Wang, Linze ; Zhao, Wenli
Author_Institution :
Inst. of Comput. Applic. Technol., HangZhou Dianzi Univ., Hangzhou, China
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
5209
Lastpage :
5214
Abstract :
We put forward a new piecewise-linear stochastic resonance(SR) model for detecting the weak signal under the strong noise background for the large parameter case. Parameters of this piecewise-linear stochastic resonance system are less correlated than those of the traditional continuous nonlinear bistable system, so that it is much easier to adjust the response characteristic of this system and generate the SR under the large parameter signals case. Here we show its description equations and character parameters. Through numerically simulating its performance under the noiseless, noisy, small parameter and large parameter cases respectively, we illustrate that this system is very helpful for detecting the weak signal under the strong noise background not only for the small parameters case, but also for the large parameters case.
Keywords :
piecewise linear techniques; signal detection; stochastic systems; continuous nonlinear bistable system; noisy background; piecewise linear stochastic resonance model; weak signal detection; Background noise; Biological system modeling; Cybernetics; Nonlinear equations; Numerical simulation; Piecewise linear techniques; Signal detection; Stochastic resonance; Stochastic systems; Strontium; bistable system; noise; piecewise-linear model; stochastic resonance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2009.5345990
Filename :
5345990
Link To Document :
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