Now showing items 1-6 of 6

    • Büyük ölçekli doğrusal denklem sistemleri için hızlı ve gürbüz çözüm teknikleri 

      Özaslan, İbrahim K.; Pilancı, Mert; Arıkan, Orhan (IEEE, 2019-04)
      Büyük ölçekli doğrusal sistemlerin veri matrisi, sütunlar arası yüksek ilintiye ve genellikle yüksek durum numaralarına sahiptir. Bilinmeyenlerin, ölçümlerden En Küçük Kareler (EKK) tekniğiyle üretilmesi, ölçüm gürültüsünün, ...
    • Compressed sensing on ambiguity function domain for high resolution detection 

      Güldoǧan, Mehmet B.; Pilancı, Mert; Arıkan, Orhan (IEEE, 2010)
      In this paper, by using compressed sensing techniques, a new approach to achieve robust high resolution detection in sparse multipath channels is presented. Currently used sparse reconstruction techniques are not immediately ...
    • Compressive sampling and adaptive multipath estimation 

      Pilancı, Mert; Arıkan, Orhan (IEEE, 2010)
      In many signal processing problems such as channel estimation and equalization, the problem reduces to a linear system of equations. In this proceeding we formulate and investigate linear equations systems with sparse ...
    • A novel technique for a linear system of equations applied to channel equalization 

      Pilancı, Mert; Arıkan, Orhan; Oǧuz, B.; Pınar, Mustafa Ç. (IEEE, 2009)
      In many inverse problems of signal processing the problem reduces to a linear system of equations. Accurate and robust estimation of the solution with errors in both measurement vector and coefficient matrix is a challenging ...
    • Polar compressive sampling: A novel technique using polar codes 

      Pilancı, Mert; Arıkan, Orhan; Arıkan, Erdal (IEEE, 2010)
      Recently introduced Polar coding is the first practical coding technique that can be proven to achieve the Shannon capacity for a multitude of communication channels. Polar codes are close to Reed-Muller codes except the ...
    • Uncertain linear equations 

      Pilancı, Mert (Bilkent University, 2010)
      In this thesis, new theoretical and practical results on linear equations with various types of uncertainties and their applications are presented. In the first part, the case in which there are more equations than unknowns ...