Now showing items 1-4 of 4

    • Adaptive decision fusion based cooperative spectrum sensing for cognitive radio systems 

      Töreyin, B. U.; Yarkan, S.; Qaraqe, K. A.; Çetin, Ahmet 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 mixture methods based on Bregman divergences 

      Donmez, M. A.; Inan, H. A.; Kozat, S. S. (Elsevier, 2013)
      We investigate adaptive mixture methods that linearly combine outputs of m constituent filters running in parallel to model a desired signal. We use Bregman divergences and obtain certain multiplicative updates to train ...
    • Extraction of sparse spatial filters using Oscillating Search 

      Onaran, İbrahim; İnce, N. Fırat; Abosch, A.; Çetin, A. Enis (IEEE, 2012)
      Common Spatial Pattern algorithm (CSP) is widely used in Brain Machine Interface (BMI) technology to extract features from dense electrode recordings by using their weighted linear combination. However, the CSP algorithm, ...
    • Radiation impedance of collapsed capacitive micromachined ultrasonic transducers 

      Ozgurluk, A.; Atalar, Abdullah; Köymen, H.; Olçum, S. (Institute of Electrical and Electronics Engineers, 2012)
      The radiation impedance of a capacitive micromachined ultrasonic transducer (CMUT) array is a critical parameter to achieve high performance. In this paper, we present a calculation of the radiation impedance of collapsed, ...