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Under Sampling Stochastic Resonance for Detecting Weak Signal

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Abstract:

For stochastic resonance can enhance the signal-to-noise ratio, it is widely applied to detect weak signal in a strong noise background. Aiming at the issue of the traditional stochastic resonance only applicable to deal with small parameters signals, a weak signal detection method based on under sampling stochastic resonance was proposed. Stochastic resonance was successfully expanded into the applications of the large parameters signals on the basis of scale-transformation and retrieve technology in the under sampling stochastic resonance. The improved stochastic resonance model was put forward and simulation results have proved the validity of the method. Large parameters weak signal mixed with strong noise is detected accurately. This method is effective for future application.

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Periodical:

Advanced Materials Research (Volumes 850-851)

Pages:

944-948

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.850-851.944

Citation:

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Online since:

December 2013

Authors:

Sheng Chao Shi*, Guang Xia Li, Zhi Qiang Li, Wei Tong Zhang

Keywords:

Scale Transformation, Stochastic Resonance, Under Sampling, Weak Signal Detection

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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