Now showing items 1-3 of 3

    • Compressed sensing on ambiguity function domain for high resolution detection 

      Güldoǧan, M.B.; Pilanci, M.; Arikan, O. (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 

      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 ...