Now showing items 1-2 of 2

    • A new OMP technique for sparse recovery 

      Teke, Oğuzhan; Gürbüz, A.C.; Arıkan, Orhan (IEEE, 2012)
      Compressive Sensing (CS) theory details how a sparsely represented signal in a known basis can be reconstructed using less number of measurements. However in reality there is a mismatch between the assumed and the actual ...
    • Sparse signal reconstruction with ellipsoid enlargement 

      Gürbüz A.C.; Pilanci, M.; Arikan, O. (2011)
      In this work a novel method for reconstructing sparse x in a noisy full rank linear system such as b = Ax + n is developed. The proposed method depends on enlarging the ellipsiod defined by the data constraint