Now showing items 1-3 of 3

    • Compressive sensing based target detection in delay-doppler radars 

      Teke O.; Arikan, O.; Gürbüz, A.C. (2013)
      Compressive Sensing theory shows that, a sparse signal can be reconstructed from its sub-Nyquist rate random samples. With this property, CS approach has many applications. Radar systems, which deal with sparse signal due ...
    • Off-grid sparse SAR image reconstruction by EMMP algorithm 

      Ugur, S.; Arikan, O.; Gurbuz, A.C. (2013)
      A new and robust sparse SAR image reconstruction technique is proposed for off-grid targets in the CS framework. In the proposed approach, basis vectors corresponding to on-grid point reflectors are perturbed on a finer ...
    • A recursive way for sparse reconstruction of parametric spaces 

      Teke O.; Gurbuz, A.C.; Arikan, O. (IEEE Computer Society, 2015)
      A novel recursive framework for sparse reconstruction of continuous parameter spaces is proposed by adaptive partitioning and discretization of the parameter space together with expectation maximization type iterations. ...