Title :
Binary aperiodic stochastic resonance based on piecewise hybrid system
Author :
Wang Linze ; Xia Beibei
Author_Institution :
Inst. of Comput. Applic. Technol., Hangzhou Dianzi Univ., Hangzhou, China
Abstract :
The paper, we put forward a new piecewise hybrid system, and study the behavior of the stochastic resonance. Through the method of numerical simulation, we studied the influence of noise and parameters variation to the output of the system, and also calculated the behavior of error rate against system parameters. The result showed that with the appropriate system parameters, the system can restore the input signal well from the noise, and can detect the binary aperiodic signal under the strong noise background.
Keywords :
numerical analysis; signal processing; binary aperiodic signal; binary aperiodic stochastic resonance; error rate behavior; noise background; numerical simulation; piecewise hybrid system; Analytical models; Bit error rate; Signal to noise ratio; Stochastic resonance; Strontium; Aperiodic Signal; Noise; Piecewise Hybrid Model; Stochastic Resonance;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768