Now showing items 1-5 of 5

    • Noise enhanced detection in multiple-access environments 

      Bayram, S.; Gezici, S. (2009)
      Under certain conditions, addition of noise can enhance performance of suboptimal detectors, which is called the stochastic resonance (SR) effect. In this paper, the effects of SR are investigated for conventional detectors ...
    • Noise enhanced detection in restricted Neyman-Pearson framework 

      Bayram, S.; Gultekin, S.; Gezici, S. (2012)
      Noise enhanced detection is studied for binary composite hypothesis-testing problems in the presence of prior information uncertainty. The restricted Neyman-Pearson (NP) framework is considered, and a formulation is obtained ...
    • Noise enhanced detection in the restricted Bayesian framework 

      Bayram, S.; Gezici, S.; Poor H.V. (2010)
      Effects of additive independent noise are investigated for sub-optimal detectors according to the restricted Bayes criterion. The statistics of optimal additive noise are characterized. Also, sufficient conditions for ...
    • Noise enhancement in joint detection and estimation systems 

      Akbay, A.B.; Gezici, S. (IEEE Computer Society, 2014)
      Adding noise to inputs of some suboptimal detectors or estimators can improve their performance under certain conditions. In this study, a noise enhanced joint detection and estimation system is investigated. Maximization ...
    • Noise-enhanced M-ary hypothesis-testing in the minimax framework 

      Bayram, S.; Gezici, S. (2009)
      In this study, the effects of adding independent noise to observations of a suboptimal detector are studied for M-ary hypothesis-testing problems according to the minimax criterion. It is shown that the optimal additional ...