Youguo Wang and Lenan Wu Stochastic Resonance in Nonlinear Signal Detection
602 - 607
2008
2
8
International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering http://waset.org/publications/4170
http://waset.org/publications/20
World Academy of Science, Engineering and Technology
Stochastic resonance (SR) is a phenomenon whereby
the signal transmission or signal processing through certain nonlinear
systems can be improved by adding noise. This paper discusses SR in
nonlinear signal detection by a simple test statistic, which can be
computed from multiple noisy data in a binary decision problem based
on a maximum a posteriori probability criterion. The performance of
detection is assessed by the probability of detection error Per . When
the input signal is subthreshold signal, we establish that benefit from
noise can be gained for different noises and confirm further that the
subthreshold SR exists in nonlinear signal detection. The efficacy of
SR is significantly improved and the minimum of Per can
dramatically approach to zero as the sample number increases. These
results show the robustness of SR in signal detection and extend the
applicability of SR in signal processing.
International Science Index 20, 2008