Now showing items 1-3 of 3

    • Convexity in source separation: Models, geometry, and algorithms 

      McCoy, M. B.; Cevher, V.; Dinh, Q. T.; Asaei, A.; Baldassarre, L. (Institute of Electrical and Electronics Engineers Inc.IEEE, 2014)
      Source separation, or demixing, is the process of extracting multiple components entangled within a signal. Contemporary signal processing presents a host of difficult source separation problems, from interference cancellation ...
    • Exact blind channel estimator 

      Özdemir, Ahmet Kemal (Bilkent University, 1998)
      Recently blind identification of single-input multiple-output (SIMO) FIR channels has received considerable attention. The obtained exact identification approaches place over-restrictive constraints on the channels. In ...
    • Phase and TV based convex sets for blind deconvolution of microscopic images 

      Tofighi M.; Yorulmaz, O.; Köse K.; Yıldırım, D. C.; Çetin-Atalay R.; Çetin, A. Enis (Institute of Electrical and Electronics Engineers Inc., 2016)
      In this paper, two closed and convex sets for blind deconvolution problem are proposed. Most blurring functions in microscopy are symmetric with respect to the origin. Therefore, they do not modify the phase of the Fourier ...