Now showing items 1-6 of 6

    • Average error in recovery of sparse signals and discrete fourier transform 

      Özçelikkale, Ayça; Yüksel, S.; Özaktaş Haldun M. (IEEE, 2012-04)
      In compressive sensing framework it has been shown that a sparse signal can be successfully recovered from a few random measurements. The Discrete Fourier Transform (DFT) is one of the transforms that provide the best ...
    • Lower bounds on the error probability of turbo codes 

      Özçelikkale, Ayça; Duman, Tolga M. (IEEE, 2014-06-07)
      We present lower bounds on the error probability of turbo codes under maximum likelihood (ML) decoding. We focus on additive white Gaussian noise (AWGN) channels, and consider both ensembles of codes with uniform interleaving ...
    • Measurement strategies for input estimation in linear systems 

      Özçelikkale, Ayça; Özaktaş, Haldun M.; Arıkan, Erdal (IEEE, 2007)
      In this work, we present a mathematical approach for some of the measurement problems arising in optics, which is also applicable to other contexts. We see the measurement problem as the problem of determining the best ...
    • Optimal measurement under cost constraints for estimation of propagating wave fields 

      Özçelikkale, Ayça; Özaktaş, Haldun M.; Arıkan, Erdal (IEEE, 2007)
      We give a precise mathematical formulation of some measurement problems arising in optics, which is also applicable in a wide variety of other contexts. In essence the measurement problem is an estimation problem in which ...
    • Structural and metrical information in linear systems 

      Özçelikkale, Ayça (Bilkent University, 2006)
      We present a systematic approach to understand the information-theoretic re- lationships in linear systems. Our main aim is to understand what kind of information the output of a linear system carries about the input of ...
    • Super-resolution using multiple quantized images 

      Özçelikkale, Ayça; Akar, G. B.; Özaktas, Haldun M. (IEEE, 2010)
      In this paper, we study the effect of limited amplitude resolution (pixel depth) in super-resolution problem. The problem we address differs from the standard super-resolution problem in that amplitude resolution is ...