DocumentCode
3370839
Title
Optimal stochastic resonance under low signal-to-noise ratio circumstances
Author
He, Di
Author_Institution
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2010
fDate
May 30 2010-June 2 2010
Firstpage
1352
Lastpage
1355
Abstract
An optimal stochastic resonance approach is proposed in this paper to overcome the defects of traditional stochastic resonance system in real applications. By introducing the stochastic resonance noise with optimal variance when the driving parameter is selected within the region which ensures the maximal output signal-to-noise ratio (SNR), the improvement of SNR gain can be guaranteed. Simulation results show that the SNR gain can reach 7~8.5dB even when the SNR of the original signal is lower than 0dB.
Keywords
signal detection; SNR gain; resonance noise; signal-to-noise ratio; AWGN; Additive white noise; Analytical models; Computational modeling; Frequency; Gaussian noise; Helium; Object detection; Signal to noise ratio; Stochastic resonance;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
Conference_Location
Paris
Print_ISBN
978-1-4244-5308-5
Electronic_ISBN
978-1-4244-5309-2
Type
conf
DOI
10.1109/ISCAS.2010.5536942
Filename
5536942
Link To Document