@article{(Open Science Index):https://publications.waset.org/pdf/4170, title = {Stochastic Resonance in Nonlinear Signal Detection}, author = {Youguo Wang and Lenan Wu}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Mathematical and Computational Sciences}, volume = {2}, number = {8}, year = {2008}, pages = {602 - 607}, ee = {https://publications.waset.org/pdf/4170}, url = {https://publications.waset.org/vol/20}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 20, 2008}, }