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SAMPLING AND RECONSTRUCTION OF SIGNALS ON PRODUCT GRAPHS
2018
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
In this paper, we consider the problem of subsampling and reconstruction of signals that reside on the vertices of a product graph, such as sensor network time series, genomic signals, or product ratings in a social network. Specifically, we leverage the product structure of the underlying domain and sample nodes from the graph factors. The proposed scheme is particularly useful for processing signals on large-scale product graphs. The sampling sets are designed using a low-complexity greedy
doi:10.1109/globalsip.2018.8646609
dblp:conf/globalsip/Ortiz-JimenezCC18
fatcat:fxeklgiey5fgfhp75wdj4dlini