3 citations · 4 across the 2 of their papers we have counts for
2 papers
eess.SP2023★ 1 cited
GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering
Itay Buchnik, Guy Sagi, Nimrod Leinwand +3
Dynamic systems of graph signals are encountered in various applications, including social networks, power grids, and transportation. While such systems can often be described as s…
eess.SP2022★ 3 cited
GSP-Based MAP Estimation of Graph Signals
Guy Sagi, Tirza Routtenberg
In this paper, we consider the problem of recovering random graph signals from nonlinear measurements. We formulate the maximum a-posteriori probability (MAP) estimator, which resu…