391 citations · 881 across the 63 of their papers we have counts for
8 papers · 1 filter
Team-Optimal Distributed MMSE Estimation in General and Tree Networks
Muhammed O. Sayin, Suleyman S. Kozat, Tamer Başar
We construct team-optimal estimation algorithms over distributed networks for state estimation in the finite-horizon mean-square error (MSE) sense. Here, we have a distributed coll…
Compressive Diffusion Strategies Over Distributed Networks for Reduced Communication Load
Muhammed O. Sayin, Suleyman S. Kozat
We study the compressive diffusion strategies over distributed networks based on the diffusion implementation and adaptive extraction of the information from the compressed diffusi…
Robust Least Squares Methods Under Bounded Data Uncertainties
N. Denizcan Vanli, Mehmet A. Donmez, Suleyman S. Kozat
We study the problem of estimating an unknown deterministic signal that is observed through an unknown deterministic data matrix under additive noise. In particular, we present a m…
Single Bit and Reduced Dimension Diffusion Strategies Over Distributed Networks
Muhammed O. Sayin, Suleyman S. Kozat
We introduce novel diffusion based adaptive estimation strategies for distributed networks that have significantly less communication load and achieve comparable performance to the…
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…