Abdullah Canbolat

E-mail

acanbola@metu.edu.tr

Department

Department of Electrical and Electronics Engineering

Locally Stationary Graph Processes Canbolat, Abdullah; Vural, Elif (2024-01-01) Stationary graph process models are commonly used in the analysis and inference of data sets collected on irregular network topologies. While most of the existing methods represent graph signals with a single stationary pr...
Learning Graph ARMA Processes From Time-Vertex Spectra Güneyi, Eylem Tuǧçe; Yaldiz, Berkay; Canbolat, Abdullah; Vural, Elif (2024-01-01) The modeling of time-varying graph signals as stationary time-vertex stochastic processes permits the inference of missing signal values by efficiently employing the correlation patterns of the process across different gra...
Estimation of Locally Stationary Graph Processes from Incomplete Realizations Canbolat, Abdullah; Vural, Elif (2022-01-01) Stationarity is a well-studied concept in signal processing and the concept of stationary random processes has been extended to graph domains in several recent works. Meanwhile, in many scenarios a globally stationary proc...
Learning Parametric Time-Vertex Graph Processes from Incomplete Realizations Guneyi, Eylem Tugce; Canbolat, Abdullah; Vural, Elif (2021-01-01) © 2021 IEEE.We consider the problem of estimating time-varying graph signals with missing observations, which is of interest in many applications involving data acquisition on irregular topologies. We model time-varying gr...

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