Now showing items 1-3 of 3

    • Compressive sampling and adaptive multipath estimation 

      Pilanci, M.; Arikan, O. (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.; Arikan, O. (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 with bounded data uncertainties 

      Pilanci, M.; Arikan, O.; Oguz, B.; Pinar, M. C. (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 ...