391 citations · 881 across the 63 of their papers we have counts for
4 papers · 2 filters
A New Analysis of an Adaptive Convex Mixture: A Deterministic Approach
Mehmet A. Donmez, Sait Tunc, Suleyman S. Kozat
We introduce a new analysis of an adaptive mixture method that combines outputs of two constituent filters running in parallel to model an unknown desired signal. This adaptive mix…
Low Complexity Turbo-Equalization: A Clustering Approach
Kyeongyeon Kim, Jun Won Choi, Suleyman S. Kozat +1
We introduce a low complexity approach to iterative equalization and decoding, or "turbo equalization", that uses clustered models to better match the nonlinear relationship that e…
Linear MMSE-Optimal Turbo Equalization Using Context Trees
Nargiz Kalantarova, Kyeongyeon Kim, Suleyman S. Kozat +1
Formulations of the turbo equalization approach to iterative equalization and decoding vary greatly when channel knowledge is either partially or completely unknown. Maximum aposte…
A Novel Robust Approach to Least Squares Problems with Bounded Data Uncertainties
Nargiz Kalantarova, Mehmet A. Donmez, Suleyman S. Kozat
In this correspondence, we introduce a minimax regret criteria to the least squares problems with bounded data uncertainties and solve it using semi-definite programming. We invest…