Now showing items 1-2 of 2

    • Boosted LMS-Based Piecewise Linear Adaptive Filters 

      Kari, D.; Marivani, I.; Delibalta, I.; Kozat, S.S. (European Signal Processing Conference, EUSIPCO, 2016)
      We introduce the boosting notion extensively used in different machine learning applications to adaptive signal processing literature and implement several different adaptive filtering algorithms. In this framework, we ...
    • Improved convergence performance of adaptive algorithms through logarithmic cost 

      Sayin, M. O.; Vanli, N. D.; Kozat, S. S. (Institute of Electrical and Electronics Engineers, 2014)
      We present a novel family of adaptive filtering algorithms based on a relative logarithmic cost. The new family intrinsically combines the higher and lower order measures of the error into a single continuous update based ...