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      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 ...
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      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 ...
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      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 ...
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      Optimal stochastic signal design and detector randomization in the Neyman-Pearson framework 

      Dülek, Berkan; Gezici, Sinan (IEEE, 2012-03)
      Power constrained on-off keying communications systems are investigated in the presence of stochastic signaling and detector randomization. The joint optimal design of decision rules, stochastic signals, and detector ...
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      A survey on optimal stochastic signaling and detector randomization 

      Dülek, Berkan; Göken, Çağrı; Gezici, Sinan; Arıkan, Orhan (IEEE, 2011)
      In this paper, a survey on stochastic signaling and detector randomization is presented for average power-constrained binary communications systems. First, the case of a single fixed detector at the receiver is considered, ...
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      Noise enhanced detection in restricted Neyman-Pearson framework 

      Bayram, S.; Gültekin, San; Gezici, Sinan (IEEE, 2012-06)
      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 ...
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      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 ...

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      Author
      Gezici, Sinan (7)
      Bayram, Suat (4)Dülek, Berkan (2)Arıkan, Orhan (1)Bayram, S. (1)Göken, Çağrı (1)Gültekin, San (1)Poor H.V. (1)Keywords
      Detectors (7)
      Signal processing (7)
      Stochastic systems (5)Optimization (4)Stochastic resonances (4)Circuit resonance (3)Detection (3)Magnetic resonance (3)Noise-enhanced detection (3)Numerical example (3)... View MoreDate Issued2009 (3)2012 (2)2010 (1)2011 (1)Has File(s)Yes (7)

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