Browsing by Keywords "Orthogonal projection"

Now showing items 1-6 of 6

    • Adaptive decision fusion based cooperative spectrum sensing for cognitive radio systems 

      Töreyin, B. U.; Yarkan, S.; Qaraqe, K. A.; Çetin, A. Enis (IEEE, 2011)
      In this paper, an online Adaptive Decision Fusion (ADF) framework is proposed for the central spectrum awareness engine of a spectrum sensor network in Cognitive Radio (CR) systems. Online learning approaches are powerful ...

    • Deconvolution using projections onto the epigraph set of a convex cost function 

      Tofighi, Mohammad; Bozkurt, Alican; Köse, K.; Çetin, A. Enis (IEEE, 2014)
      A new deconvolution algorithm based on making orthogonal projections onto the epigraph set of a convex cost function is presented. In this algorithm, the dimension of the minimization problem is lifted by one and sets ...

    • Denoising using projections onto the epigraph set of convex cost functions 

      Tofighi, Mohammad; Köse, K.; Çetin, A. Enis (IEEE, 2014)
      A new denoising algorithm based on orthogonal projections onto the epigraph set of a convex cost function is presented. In this algorithm, the dimension of the minimization problem is lifted by one and feasibility sets ...

    • Projection-based wavelet denoising [lecture notes] 

      Çetin, A. Enis; Tofighi M. (Institute of Electrical and Electronics Engineers Inc., 2015)
      In this lecture note, we describe a wavelet domain denoising method consisting of making orthogonal projections of wavelet (subbands) signals of the noisy signal onto an upside down pyramid-shaped region in a multidimensional ...

    • Projections onto convex sets (POCS) based optimization by lifting 

      Çetin, A. Enis; Bozkurt, Alican; Günay, Osman; Habiboglu, Yusuf Hakan; Köse, K.; Onaran, İbrahim; Tofighi, Mohammad; Sevimli, Rasim Akın (IEEE, 2013)
      A new optimization technique based on the projections onto convex space (POCS) framework for solving convex and some non-convex optimization problems are presented. The dimension of the minimization problem is lifted by ...

    • Projections onto the epigraph set of the filtered variation function based deconvolution algorithm 

      Tofighi, M.; Çetin, A. Enis (IEEE, 2017)
      A new deconvolution algorithm based on orthogonal projections onto the hyperplanes and the epigraph set of a convex cost function is presented. In this algorithm, the convex sets corresponding to the cost function are ...