Nonlinear signal detection from an array of threshold devices for non-Gaussian noise Export

@article{citeulike:5972665, abstract = {We discuss the beneficial action of non-Gaussian noise in nonlinear signal detection through an array of threshold devices based on the probability of error. For unimodal generalized Gaussian noise, only when the input signal is sub-threshold, stochastic resonance (SR) exists. The efficacy of SR reduces as the exponent parameter in the noise probability density function (PDF) becomes small. This result is analogical with a previous result where the signal PDF has an effect on the efficacy of SR. The efficacy of SR also reduces as the threshold level is raised. However, for bimodal Gaussian mixture noise, not only when the input signal is sub-threshold, SR sometimes exists, but also when the input signal is supra-threshold, supra-threshold stochastic resonance (SSR) often exists, too. The parameter in the Gaussian mixture noise PDF has an effect on the occurrence of SR and SSR. Array can enhance the efficacy of the nonlinear detection as the number of threshold devices in the array is raised. These results show further that the phenomena of SR and SSR depend on the characteristic of the threshold noise and also extend the applicability of SR and SSR in nonlinear signal detection.}, author = {Wang, Y. and Wu, L.}, citeulike-article-id = {5972665}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.dsp.2006.05.007}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S1051200406000662}, doi = {10.1016/j.dsp.2006.05.007}, issn = {10512004}, journal = {Digital Signal Processing}, keywords = {nonlinear}, month = {January}, number = {1}, pages = {76--89}, posted-at = {2009-10-19 23:00:37}, priority = {2}, title = {Nonlinear signal detection from an array of threshold devices for non-Gaussian noise}, url = {http://dx.doi.org/10.1016/j.dsp.2006.05.007}, volume = {17}, year = {2007} }

TY - JOUR ID - citeulike:5972665 L3 - citeulike-article-id:5972665 N2 - We discuss the beneficial action of non-Gaussian noise in nonlinear signal detection through an array of threshold devices based on the probability of error. For unimodal generalized Gaussian noise, only when the input signal is sub-threshold, stochastic resonance (SR) exists. The efficacy of SR reduces as the exponent parameter in the noise probability density function (PDF) becomes small. This result is analogical with a previous result where the signal PDF has an effect on the efficacy of SR. The efficacy of SR also reduces as the threshold level is raised. However, for bimodal Gaussian mixture noise, not only when the input signal is sub-threshold, SR sometimes exists, but also when the input signal is supra-threshold, supra-threshold stochastic resonance (SSR) often exists, too. The parameter in the Gaussian mixture noise PDF has an effect on the occurrence of SR and SSR. Array can enhance the efficacy of the nonlinear detection as the number of threshold devices in the array is raised. These results show further that the phenomena of SR and SSR depend on the characteristic of the threshold noise and also extend the applicability of SR and SSR in nonlinear signal detection. IS - 1 JF - Digital Signal Processing SN - 10512004 EP - 89 TI - Nonlinear signal detection from an array of threshold devices for non-Gaussian noise VL - 17 SP - 76 KW - nonlinear AU - Wang, Y AU - Wu, L PY - 2007/01// UR - http://dx.doi.org/10.1016/j.dsp.2006.05.007 ER -