Now showing items 1-5 of 5

    • Autofocused spotlight SAR image reconstruction of off-grid sparse scenes 

      Camlıca, S.; Gurbuz, A. C.; Arıkan, O. (Institute of Electrical and Electronics Engineers Inc., 2017)
      Synthetic aperture radar (SAR) has significant role in remote sensing. Phase errors due to uncompensated platform motion, measurement model mismatch, and measurement noise can cause degradations in SAR image reconstruction. ...
    • Detection of sparse targets with structurally perturbed echo dictionaries 

      Guldogan, M. B.; Arikan, O. (Elsevier, 2013)
      In this paper, a novel algorithm is proposed to achieve robust high resolution detection in sparse multipath channels. Currently used sparse reconstruction techniques are not immediately applicable in multipath channel ...
    • Expectation maximization based matching pursuit 

      Gurbuz, A.C.; Pilanci, M.; Arikan, O. (2012)
      A novel expectation maximization based matching pursuit (EMMP) algorithm is presented. The method uses the measurements as the incomplete data and obtain the complete data which corresponds to the sparse solution using an ...
    • A new OMP technique for sparse recovery 

      Teke O.; Gürbüz, A.C.; Arikan, O. (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 ...
    • Perturbed orthogonal matching pursuit 

      Teke, O.; Gurbuz, A. C.; Arikan, O. (IEEE, 2013)
      Compressive Sensing theory details how a sparsely represented signal in a known basis can be reconstructed with an underdetermined linear measurement model. However, in reality there is a mismatch between the assumed and ...