We propose an iterative algorithm to interpolate graph signals from only a partial set of samples. Our method is derived from the well known Papoulis-Gerchberg algorithm by considering the optimal value of a constant involved in the iteration step. Compared with existing graph signal reconstruction algorithms, the proposed method achieves similar or better performance both in terms of convergence rate and computational efficiency.
Brugnoli E., Toscano E., Vetro C. (2020). Iterative Reconstruction of Signals on Graph. IEEE SIGNAL PROCESSING LETTERS, 27, 76-80 [10.1109/LSP.2019.2956670].
Iterative Reconstruction of Signals on Graph
Toscano E.;Vetro C.
2020-01-01
Abstract
We propose an iterative algorithm to interpolate graph signals from only a partial set of samples. Our method is derived from the well known Papoulis-Gerchberg algorithm by considering the optimal value of a constant involved in the iteration step. Compared with existing graph signal reconstruction algorithms, the proposed method achieves similar or better performance both in terms of convergence rate and computational efficiency.
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