Now showing items 1-16 of 16

    • Adaptive and efficient nonlinear channel equalization for underwater acoustic communication 

      Kari, D.; Vanli, N. D.; Kozat, S. S. (Elsevier B.V., 2017)
      We investigate underwater acoustic (UWA) channel equalization and introduce hierarchical and adaptive nonlinear (piecewise linear) channel equalization algorithms that are highly efficient and provide significantly improved ...
    • Adaptive filtering approaches for non-Gaussian stable processes 

      Arıkan, O.; Belge, M.; Çetin, A. E.; Erzin, E. (Institute of Electrical and Electronics Engineers, 1995)
      A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this paper, α-stable distributions, which have heavier tails than Gaussian distribution, are considered to model non-Gaussian ...
    • Analysis of errors in zero-free-parameter modeling approach to predict the voltage of electrochemical energy storage systems under arbitrary load 

      Ulgut, B.; Uzundal, C. B.; Özdemir, E. (Electrochemical Society Inc., 2017)
      In a recently published article (J. Electrochem. Soc. 164 (2017) A1274-A1280), we described a new method to predict the voltage response of electrochemical energy storage systems during arbitrary load profiles. Our work ...
    • Autofocused spotlight SAR image reconstruction of off-grid sparse scenes 

      Camlıca, S.; Gurbuz, A. C.; Arıkan, O. (Institute of Electrical and Electronics Engineers Inc., 2017)
      Synthetic aperture radar (SAR) has significant role in remote sensing. Phase errors due to uncompensated platform motion, measurement model mismatch, and measurement noise can cause degradations in SAR image reconstruction. ...
    • Differentiation and localization of target primitives using infrared sensors 

      Aytaç, T.; Barshan, B. (2002)
      This study investigates the use of low-cost infrared sensors in the differentiation and localization of commonly encountered target primitives in indoor environments, such as planes, corners, edges, and cylinders. The ...
    • Error rate analysis of cognitive radio transmissions with imperfect channel sensing 

      Ozcan, G.; Gursoy, M. C.; Gezici, S. (Institute of Electrical and Electronics Engineers Inc., 2014)
      This paper studies the symbol error rate performance of cognitive radio transmissions in the presence of imperfect sensing decisions. Two different transmission schemes, namely sensing-based spectrum sharing (SSS) and ...
    • Finding faces in news photos using both face and name information 

      Ozkan, D.; Duygulu P. (2006)
      We propose a method to associate names and faces for querying people in large news photo collections. On the assumption that a person's face is likely to appear when his/her name is mentioned in the caption, first all the ...
    • Guessing subject to distortion 

      Arikan, E.; Merhav, N. (Institute of Electrical and Electronics Engineers, 1998-05)
      We investigate the problem of guessing a random vector X within distortion level D. Our aim is to characterize the best attainable performance in the sense of minimizing, in some probabilistic sense, the number of required ...
    • An information-theoretic analysis of Grover's algorithm 

      Arikan, E. (2003)
      A quantum algorithm for identifying a target element in an unstructured search universe of N items in approximately π/4√N queries to a quantum oracle was discovered. It was proved that this square-root speed-up was the ...
    • Local error analysis arising from the conventional scalar approximation in wide optical fields 

      Kulce, O.; Onural, L. (Institute of Electrical and Electronics Engineers Inc., 2017)
      The scalar approximation which is used to represent the optical fields in free space causes large error in large angles due to the neglected longitudinal component of the vector electric field. A short space Fourier transform ...
    • NS-SRAM: neighborhood solidarity SRAM for reliability enhancement of SRAM memories 

      Alouani, I.; Ahangari, H.; Ozturk, O.; Niar, S. (Institute of Electrical and Electronics Engineers Inc., 2016)
      Technology shift and voltage scaling increased the susceptibility of Static Random Access Memories (SRAMs) to errors dramatically. In this paper, we present NS-SRAM, for Neighborhood Solidarity SRAM, a new technique to ...
    • Optimal filtering in fractional Fourier domains 

      Kutay, M.Alper, Ozaktas Haldun, M.; Onural Levent, Arikan Orhan (1995)
      The ordinary Fourier transform is suited best for analysis and processing of time-invariant signals and systems. When we are dealing with time-varying signals and systems, filtering in fractional Fourier domains might allow ...
    • Perturbed orthogonal matching pursuit 

      Teke, O.; Gurbuz, A. C.; Arikan, O. (IEEE, 2013)
      Compressive Sensing theory details how a sparsely represented signal in a known basis can be reconstructed with an underdetermined linear measurement model. However, in reality there is a mismatch between the assumed and ...
    • SAR image reconstruction by expectation maximization based matching pursuit 

      Ugur, S.; Arikan, O.; Gürbüz, A. C. (Academic Press, 2015)
      Synthetic Aperture Radar (SAR) provides high resolution images of terrain and target reflectivity. SAR systems are indispensable in many remote sensing applications. Phase errors due to uncompensated platform motion degrade ...
    • Sequential sensor installation for wiener disorder detection 

      Dayanik, S.; Sezer, S. O. (Institute for Operations Research and the Management Sciences (I N F O R M S), 2016)
      We consider a centralized multisensor online quickest disorder detection problem where the observation from each sensor is a Wiener process gaining a constant drift at a common unobservable disorder time. The objective is ...
    • Synthetic TEC mapping with ordinary and universal kriging 

      Sayin I.; Arikan F.; Arikan, O. (2007)
      Spatiotemporal variations in the ionosphere affects the HF and satellite communications and navigation systems. Total Electron Content (TEC) is an important parameter since it can be used to analyze the spatial and temporal ...