Now showing items 1-4 of 4

    • 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 ...
    • Recovery of sparse perturbations in Least Squares problems 

      Pilanci, M.; Arıkan, Orhan (IEEE, 2011)
      We show that the exact recovery of sparse perturbations on the coefficient matrix in overdetermined Least Squares problems is possible for a large class of perturbation structures. The well established theory of Compressed ...
    • Structured least squares problems and robust estimators 

      Pilanci, M.; Arikan, O.; Pinar, M. C. (IEEE, 2010-10-22)
      A novel approach is proposed to provide robust and accurate estimates for linear regression problems when both the measurement vector and the coefficient matrix are structured and subject to errors or uncertainty. A new ...
    • Structured least squares with bounded data uncertainties 

      Pilanci, Mert; Arıkan, Orhan; Oguz, B.; Pınar, Mustafa C. (IEEE, 2009)
      In many signal processing applications the core problem reduces to a linear system of equations. Coefficient matrix uncertainties create a significant challenge in obtaining reliable solutions. In this paper, we present a ...