Now showing items 1-19 of 19

    • Average Fisher information maximisation in presence of cost-constrained measurements 

      Dulek, B.; Gezici, Sinan (The Institution of Engineering and Technology, 2011)
      An optimal estimation framework is considered in the presence of cost-constrained measurements. The aim is to maximise the average Fisher information under a constraint on the total cost of measurement devices. An optimisation ...
    • Average fisher information optimization for quantized measurements using additive independent noise 

      Balkan, Gokce Osman; Gezici, Sinan (IEEE, 2010)
      Adding noise to nonlinear systems can enhance their performance. Additive noise benefits are observed also in parameter estimation problems based on quantized observations. In this study, the purpose is to find the optimal ...
    • Convexity properties of outage probability under Rayleigh fading 

      Dülek, Berkan; Vanlı, N. Denizcan; Gezici, Sinan (IEEE, 2012)
      In this paper, convexity properties of outage probability are investigated under Rayleigh fading for an average power-constrained communications system that employs maximal-ratio combining (MRC) at the receiver. By studying ...
    • Detector randomization and stochastic signaling for minimum probability of error receivers 

      Dulek, B.; Gezici, Sinan (Institute of Electrical and Electronics Engineers, 2012)
      Optimal receiver design is studied for a communications system in which both detector randomization and stochastic signaling can be performed. First, it is proven that stochastic signaling without detector randomization ...
    • Dwell time optimization in switching control of parameter varying time delay systems 

      Yan, P.; Özbay, Hitay; Şansal, M. (IEEE, 2011)
      It has been shown that parameter varying systems with time delays can be robustly stabilized by switching control, provided that the plant's parameter varies slowly enough such that the dwell time conditions of the switched ...
    • Effects of channel state information uncertainty on the performance of stochastic signaling 

      Göken, Çağrı; Gezici, Sinan; Arıkan, Orhan (IEEE, 2011)
      In this paper, stochastic signaling is studied for power-constrained scalar valued binary communications systems in the presence of uncertainties in channel state information (CSI). First, it is shown that, for a given ...
    • 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 ...
    • 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 ...
    • On the optimality of stochastic signaling under an average power constraint 

      Göken, Çağrı; Gezici, Sinan; Arıkan, Orhan (IEEE, 2010-09-10)
      In this paper, stochastic signaling is studied for scalar valued binary communications systems over additive noise channels in the presence of an average power constraint. For a given decision rule at the receiver, the ...
    • Optimal stochastic parameter design for estimation problems 

      Soganci, H.; Gezici, Sinan; Arıkan, Orhan (Institute of Electrical and Electronics Engineers, 2012)
      In this study, the aim is to perform optimal stochastic parameter design in order to minimize the cost of a given estimator. Optimal probability distributions of signals corresponding to different parameters are obtained ...
    • 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 ...
    • Optimal stopping problems for asset management 

      Dayanık, S.; Egami, M. (2012)
      An asset manager invests the savings of some investors in a portfolio of defaultable bonds. The manager pays the investors coupons at a constant rate and receives a management fee proportional to the value of the portfolio. ...
    • Parallel-MLFMA solutions of large-scale problems involving composite objects 

      Ergül, Özgür; Gürel, Levent (IEEE, 2012-07)
      We present a parallel implementation of the multilevel fast multipole algorithm (MLFMA) for fast and accurate solutions of large-scale electromagnetics problems involving composite objects with dielectric and metallic ...
    • Performance analysis of code-multiplexed transmitted-reference ultra-wideband systems 

      Tutay, Mehmet Emin; Gezici, Sinan; Poor H.V. (IEEE, 2011)
      In code-multiplexed transmitted-reference (CM-TR) ultra-wideband (UWB) systems, data signals and reference signals are transmitted using two distinct orthogonal codes. In this way, performance improvements and/or implementation ...
    • Stability analysis of cell dynamics in leukemia 

      Özbay, Hitay; Bonnet, C.; Benjelloun, H.; Clairambault, J. (E D P Sciences, 2012)
      In order to better understand the dynamics of acute leukemia, and in particular to find theoretical conditions for the efficient delivery of drugs in acute myeloblastic leukemia, we investigate stability of a system modeling ...
    • Stability analysis of the heat equation with time-delayed feedback 

      Çalışkan, Sina Yamaç; Özbay, Hitay (IFAC, 2009-06)
      In this paper we consider the heat equation with time delayed feedback. Recently, stability analysis of this system, with possibly time-varying delay, is done by Fridman and Orlov (2007, 2009); and a sufficient condition ...
    • Stochastic signaling in the presence of channel state information uncertainty 

      Goken, C.; Gezici, Sinan; Arıkan, Orhan (Elsevier, 2013)
      In this paper, stochastic signaling is studied for power-constrained scalar valued binary communications systems in the presence of uncertainties in channel state information (CSI). First, stochastic signaling based on the ...
    • Stochastic signaling under second and fourth moment constraints 

      Göken, Çağrı; Gezici, Sinan; Arıkan, Orhan (IEEE, 2010)
      Stochastic signaling is investigated under second and fourth moment constraints for the detection of scalar-valued binary signals in additive noise channels. Sufficient conditions are derived to determine when the use of ...
    • Wiener disorder problem with observations at fixed discrete time epochs 

      Dayanik, S. (Institute for Operations Research and the Management Sciences (I N F O R M S), 2010)
      Suppose that a Wiener process gains a known drift rate at some unobservable disorder time with some zero-modified exponential distribution. The process is observed only at known fixed discrete time epochs, which may not ...