Now showing items 1-20 of 307

    • 2D simultaneous localization and mapping for unmanned aerial vehicles 

      Kök, M.; Barshan, B. (2008)
      In this work, a 2D vision-based Simultaneous Localization and Mapping algorithm is developed for an Unmanned Aerial Vehicle flying at a constant altitude. We use visual features of images obtained from an on-board camera ...
    • 3-Boyutlu orman yangını yayılımı sistemi 

      Köse K.; Yılmaz, E.; Grammalidis, N.; Aktuğ, B.; Çetin, A. E.; Aydın, İ. (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, H.; Arıkan, O.; Arıkan, F. (IEEE Computer Society, 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 ...
    • 3D model compression using connectivity-guided adaptive lifting transform 

      Köse K.; Çetin, A. E.; Güdükbay U.; Onural, L. (2007)
      Two compression frameworks that are based on a Set Partitioning In Hierarchical Trees (SPIHT) and JPEG2000 methods are proposed. The 3D mesh is first transformed to 2D images on a regular grid structure. Then, this image-like ...
    • Adaptive decision fusion based cooperative spectrum sensing for cognitive radio systems 

      Töreyin, B. U.; Yarkan S.; Qaraqe, K. A.; Çetin, A. E. (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, 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 ...
    • Adaptive filtering for non-gaussian stable processes 

      Arikan, O.; Cetin, A. E.; 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 

      Fatih Kilic, O.; Denizcan Vanli, N.; Ozkan, H.; Delibalta, I.; Kozat, S. S. (European Signal Processing Conference, EUSIPCO, 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.; Arikan, O. (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, Y. K.; Ankan, O. (IEEE Computer Society, 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 ...
    • Affordance prediction of hand tools using interactive perception 

      Çalişkan, Y.; Duygulu, P.; Şahin, E. (2012)
      In daily life, the selection of a hand tool for a job depends on appereance of the tool and its effect on the objects. The effect determines the affordance of the chosen tool. Aim of this work is to determine the affordances ...
    • Algorithms and basis functions in tomographic reconstruction of ionospheric electron density 

      Yavuz, E.; Arikan F.; Arikan, O.; Erol, C.B. (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 ...
    • The analysis of wearable motion sensors in human activity recognition based on mutual information criterion 

      Dobrucali O.; Barshan, B. (IEEE Computer Society, 2014)
      Selecting a suitable sensor configuration is an important aspect of recognizing human activities with wearable motion sensors. This problem encompasses selecting the number and type of the sensors, their position on the ...
    • Anomaly based target detection in hyperspectral images via graph cuts 

      Bati, E.; Erdinc, A.; Cesmeci, D.; Caliskan, A.; Koz, A.; Aksoy, S.; Erturk, S.; Alatan, A.A. (Institute of Electrical and Electronics Engineers Inc., 2015)
      The studies on hyperspectral target detection until now, has been treated in two approaches. Anomaly detection can be considered as the first approach, which analyses the hyperspectral image with respect to the difference ...
    • Application of fractional fourier transform to finite difference time domain method 

      Sayin I.; Arikan F.; Arikan, O. (2010)
      With the improvement in the computer speed and memory, Numerical Methods are frequently used in the solution of electromagnetic problems. Numerical Methods can be classified as the frequency domain and the time domain based ...
    • Application of signal-processing techniques to dipole excitations in the finite-difference time-domain method 

      Oğuz, U.; Gürel, L. (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, L.; Oǧuz, U. (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 ...
    • Approximate computation of DFT without performing any multiplications: Application to radar signal processing 

      Arslan, M. T.; Bozkurt, A.; Sevimli, R. A.; Akbas, C. E.; Cetin, A. E. (IEEE Computer Society, 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, B.; Özçakir, L.; Köymen, H. (IEEE Comp Soc, Los Alamitos, CA, United States, 1997)
      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 ...
    • Asymmetric and nonasymmetric Slepian-Wolf coding with polar codes 

      Önay, S. (2012)
      We consider a nonasymmetric distributed source coding (DSC) scheme invented by Gehrig which can achieve any point on the dominant face of the Slepian-Wolf (SW) rate region for sources with uniform marginals. And we show ...