Iterative reconstruction of signals on graph
arXiv:1910.00805 · doi:10.1109/LSP.2019.2956670
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.
8 pages, 3 figures