ICASSP 2016accepted0 citations
Space-shift sampling of graph signals
Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
Abstract
A novel scheme for sampling graph signals is proposed. Space-shift sampling can be understood as a hybrid scheme that combines selection sampling -- observing the signal values on a subset of nodes - and aggregation sampling - observing the signal values at a single node after successive aggregation of local data. Under the assumption of bandlimitedness, we state conditions and propose strategies for signal recovery in different settings. Being a more general procedure, space-shift sampling achieves smaller reconstruction errors than current schemes, as we illustrate through the reconstruction of the industrial activity in a graph of the U.S. economy.
BibTeX
@inproceedings{icassp2016_spaceshiftsampli,
title = {Space-shift sampling of graph signals},
author = {Santiago Segarra and Antonio G. Marques and Geert Leus and Alejandro Ribeiro},
booktitle = {ICASSP 2016},
year = {2016}
}