Weak signal detection based on two dimensional stochastic resonance. Barbini, L., Cole, M. O. T., Hillis, A. J., & du Bois , J. L. In 2015 23rd European Signal Processing Conference (EUSIPCO), pages 2147-2151, Aug, 2015.
Weak signal detection based on two dimensional stochastic resonance [pdf]Paper  doi  abstract   bibtex   
The analysis of vibrations from rotating machines gives information about their faults. From the signal processing perspective a significant problem is the detection of weak signals embedded in strong noise. Stochastic resonance (SR) is a mechanism where noise is not suppressed but exploited to trigger the synchronization of a non-linear system and in its one-dimensional form has been recently applied to vibration analysis. This paper focuses on the use of SR in a two-dimensional system of gradient type for detection of weak signals submerged in Gaussian noise. Comparing the traditional one-dimensional system and the two-dimensional used here, this paper shows that the latter can offer a more sensitive means of detection. An alternative metric is proposed to assess the output signal quality, requiring no a priori knowledge of the signal to be detected, and it is shown to offer similar results to the more conventional signal-to-noise ratio.

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