Title :
Study of stochastic resonance based on a Nw Pecewise-Lnear Mdel
Author :
Wang, Linze ; Liu, Xin ; Zhao, Wenli
Author_Institution :
Inst. of Comput. Applic. Technol., HangZhou Dianzi Univ., Hangzhou, China
Abstract :
We put forward a new piecewise-linear stochastic resonance (SR) model for detecting the weak signal under the strong noise background. we show its description equations and haracter parameters. Through numerically simulating its performance under periodic signal and aperiodic signal respectively, we illustrate that this system is very helpful for detecting the weak signal under the strong noise background.
Keywords :
piecewise linear techniques; resonance; signal detection; stochastic processes; SR model; aperiodic signal; description equation; noise background; periodic signal detection; piecewise-linear model; stochastic resonance; Automotive engineering; Background noise; Equations; Frequency; Instruments; Numerical simulation; Piecewise linear techniques; Signal detection; Stochastic resonance; Strontium; aperiodic signal; bistable system; noise; piecewise-linear model; stochastic resonance;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274109
