Browsing by Author "Bayram, Suat"

Now showing items 1-7 of 7

    • Alternative approaches and noise benefits in hypothesis-testing problems in the presence of partial information 

      Bayram, Suat (Bilkent University, 2011)
      Performance of some suboptimal detectors can be enhanced by adding independent noise to their observations. In the first part of the dissertation, the effects of additive noise are studied according to the restricted ...

    • Effects of additional independent noise in binary composite hypothesis-testing problems 

      Bayram, Suat; Gezici, Sinan (IEEE, 2009-09)
      Performance of some suboptimal detectors can be improved by adding independent noise to their observations. In this paper, the effects of adding independent noise to observations of a detector are investigated for binary ...

    • Jamming strategies in wireless source localization systems 

      Keskin, Musa Furkan; Öztürk, Cüneyd; Bayram, Suat; Gezici, Sinan (IEEE, 2019-08)
      We consider optimal jamming strategies in wireless source localization systems, where anchor nodes estimate positions of target nodes in the presence of jammers that emit zero-mean Gaussian noise. The Cramér-Rao lower bound ...

    • Noise enhanced detection 

      Bayram, Suat (Bilkent University, 2009)
      Performance of some suboptimal detectors can be improved by adding independent noise to their measurements. Improving the performance of a detector by adding a stochastic signal to the measurement can be considered in ...

    • Noise enhanced detection in multiple-access environments 

      Bayram, Suat; Gezici, Sinan (IEEE, 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 the restricted Bayesian framework 

      Bayram, Suat; Gezici, Sinan; Poor H.V. (IEEE, 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-enhanced M-ary hypothesis-testing in the minimax framework 

      Bayram, Suat; Gezici, Sinan (IEEE, 2009-09)
      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 ...