Now showing items 1-20 of 283

    • 3-Boyutlu orman yangını yayılımı sistemi 

      Köse, Kıvanç; Yılmaz, E.; Grammalidis, N.; Aktuğ, B.; Çetin, A. Enis; Aydın, İ. (IEEE, 2008)
      In the last few years, due to the global warming and draught related to it, there is an increase in the number of forest fires. Forest fire detection is mainly done by people but there exists some automated systems in this ...
    • 3D electron density estimation in the ionosphere 

      Tuna, Hakan; Arıkan, Orhan; Arıkan, F. (IEEE, 2014)
      Ionosphere has ion distribution which is variable in space and time. There have been physical and empirical studies for modeling the ionosphere. International Reference Ionosphere extended to Plasmasphere (IRI-Plas) is the ...
    • Adaptive decision fusion based cooperative spectrum sensing for cognitive radio systems 

      Töreyin, B. U.; Yarkan, S.; Qaraqe, K. A.; Çetin, A. Enis (IEEE, 2011)
      In this paper, an online Adaptive Decision Fusion (ADF) framework is proposed for the central spectrum awareness engine of a spectrum sensor network in Cognitive Radio (CR) systems. Online learning approaches are powerful ...
    • Adaptive filtering approaches for non-Gaussian stable processes 

      Arıkan, Orhan; Belge, Murat; Çetin, A. Enis; Erzin, Engin (IEEE, 1995-05)
      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 ...
    • Adaptive filtering for non-gaussian stable processes 

      Arıkan, Orhan; Çetin, A. Enis; Erzin, E. (IEEE, 1994)
      A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this letter, a-stable distributions, which have heavier tails than Gaussian distribution, are considered to model non-Gaussian ...
    • Adaptive hierarchical space partitioning for online classification 

      Kılıç, O. Fatih; Vanlı, N. D.; Özkan, H.; Delibalta, İ.; Kozat, Süleyman Serdar (IEEE, 2016)
      We propose an online algorithm for supervised learning with strong performance guarantees under the empirical zero-one loss. The proposed method adaptively partitions the feature space in a hierarchical manner and generates ...
    • Adaptive tracking of narrowband HF channel response 

      Arikan, F.; Arıkan, Orhan (Wiley-Blackwell Publishing, 2003)
      Estimation of channel impulse response constitutes a first step in computation of scattering function, channel equalization, elimination of multipath, and optimum detection and identification of transmitted signals through ...
    • ADMM based mainlobe power constrained phase-only sidelobe supression 

      Alp, Yaşar Kemal; Arıkan, Orhan (IEEE, 2014)
      A novel sidelobe suppression technique is proposed for phased arrays, where only the phases of the array elements are adjusted to suppress the gain in the direction of interest while keeping the mainlobe power at a certain ...
    • Algorithms and basis functions in tomographic reconstruction of ionospheric electron density 

      Yavuz, E.; Arıkan, F.; Arıkan, Orhan; Erol, C. B. (IEEE, 2005)
      Computerized ionospheric tomography (CIT) is a method to investigate ionosphere electron density in two or three dimensions. This method provides a flexible tool for studying ionosphere. Earth based receivers record signals ...
    • Application of signal-processing techniques to dipole excitations in the finite-difference time-domain method 

      Oğuz, U.; Gürel, Levent (Taylor & Francis, 2002)
      The applications of discrete-time signal-processing techniques, such as windowing and filtering for the purpose of implementing accurate excitation schemes in the finite-difference time-domain (FDTD) method are demonstrated. ...
    • Application of signal-processing techniques to reduce the errors related to the FDTD excitations 

      Gürel, Levent; Oğuz, Uğur (IEEE, 2001)
      A study on the reduction of the errors related to the finite-difference time-domain (FDTD) excitations was performed by employing signal-processing techniques. Plane-wave scattering problems were simulated. The improvements ...
    • Applications of the fractional Fourier transform in optics and signal processing-a review 

      Özaktaş, Haldun M.; Mendlovic, D. (SPIE, 1996)
      The fractional Fourier transform The fractional Fourier transform is a generalization of the common Fourier transform with an order parameter a. Mathematically, the ath order fractional Fourier transform is the ath power ...
    • Approximate computation of DFT without performing any multiplications: application to radar signal processing 

      Arslan, Musa Tunç; Bozkurt, Alican; Sevimli, Rasim Akın; Akbaş, Cem Emre; Çetin, A. Enis (IEEE, 2014)
      In many radar problems it is not necessary to compute the ambiguity function in a perfect manner. In this article a new multiplication free algorithm for approximate computation of the ambiguity function is introduced. All ...
    • Assessment of information redundancy in ECG signals 

      Acar, Burak; Özçakır, Lütfü; Köymen, Hayrettin (IEEE, 1997-09)
      In this paper, the morphological information redundancy in standard 12 lead ECG channels is studied. Study is based on decomposing the ECG channels into orthogonal channels by an SVD based algorithm and then reconstructing ...
    • Atatürk'ün el yazmalarının işlenmesi 

      Soysal, Talha; Adıgüzel Hande; Öktem, Alp; Haman, Alican; Can, Ethem Fatih; Duygulu, Pınar; Kalpaklı, Mehmet (IEEE, 2010-04)
      Bu çalımada Atatürk'ün el yazmalarının etkin ve kolay eriimini salayabilecek kelime tabanlı bir arama sisteminin ilk aaması olarak sayısallatırılmı belgelerin ön ilemesi ve satır ve kelimelere bölütlenmesi konusunda çalımalar ...
    • Autofocus method in thermal cameras based on image histogram 

      Turgay, E.; Teke, Oğuzhan (IEEE, 2011)
      In this paper, a new histogram based auto-focusing method for thermal cameras is proposed. This proposed method is realized by FPGA (Field Programmable Gate Array) and DSP (Digital Signal Processor) working together and ...
    • 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 ...
    • Background subtraction with a moving camera 

      Topçu O.; Kalem, Aslıhan; Esen, E. (IEEE, 2013)
      Moving object segmentation with a nonstationary camera is a difficult problem due to the motion of both camera and the object. A moving object segmentation method is proposed in this work to be used in pan-tilt-zoom (PTZ) ...
    • Bağlam ağaçları ile ardışık doğrusal olmayan bağlanım 

      Vanlı, N. Denizcan; Kozat, Süleyman S. (IEEE, 2014-04)
      Bu bildiride, ardışık doğrusal olmayan bağlanım problemi incelenmiş ve bağlam ağaçları kullanarak etkili bir öğrenme algoritması sunulmuştur. Bu amaçla, bağlanım alanı parçalara ayrılmış ve oluşan bölgeler bağlam ağacı ile ...
    • Bağlamsal çıkarımla nesne sezimi 

      Kalaycılar, Fırat; Aksoy, Selim (IEEE, 2009-04)
      Bu bildiride, sezim başarımını arttırmada tek tek sezilmiş nesneler arasındaki bağlamsal ilişkilerden yararlanan bir nesne sezim sistemi tanıtılmaktadır. Bu çalışmadaki ilk katkı, iki boyutlu görüntü uzayında yapılan ...