Toplam kayıt 4, listelenen: 1-4

    • Automatic Digital Modulation Classification using Extreme Learning Machine in Frequency Offset 

      Güner, Ahmet; Alçin, Ömer Faruk; Üstündağ, Mehmet (International Conference on Natural Science and Engineering (ICNASE’16), 2016-03-19)
      One of the major problems in non-cooperative and intelligent communication systems is the determination of the type of modulation of the received signal. The problem becomes more challenging when there are synchronization ...
    • Feature Analysis of Time and Frequency Domain for Automatic Modulation Classification 

      Güner, Ahmet; Alçin, Ömer Faruk; Üstündağ, Mehmet (International Artificial Intelligence and Data Processing Symposium'16, 2016-09-17)
      In this study, determination of the type of digital modulation of received signal in communication systems was aimed. For this purpose, high order cumulants, which are the most addressed ones, and frequency-based features ...
    • Geometrik ve istatistiksel özelliklere dayalı yaprak tanıma sistemi 

      Türkoğlu, Muammer; Alçin, Ömer Faruk; Üstündağ, Mehmet; Hanbay, Davut (International Conference on Natural Science and Engineering(ICNASE'16), 2016-03-20)
      Bu çalışmada, örüntü tanıma sistemlerinde hızlı ve kolay hesap yapabilen ve aynı zamanda sistem performansını arttıran, Merkez Kenar Uzaklıkları (MKU) metodu kullanılarak yaprak tanıma sistemi geliştirilmiştir. Yapılan ...
    • Power Quality Event Classification Using Least Square-Support Vector Machine 

      Uçar, Ferhat; Alçin, Ömer Faruk; Dandıl, Beşir; Ata, Fikret (2016-03-19)
      In this manuscript, a discrete wavelet transform and statistical feature extraction based intelligent pattern recognition system is presented which is efficacious to classify power quality disturbance events like voltage ...