Smooth Signal Recovery on Product Graphs

ICASSP 2019
Pages: 4958 - 4962
Published: May 12, 2019
Abstract
Product graphs are a useful way to model richer forms of graph-structured data that can be multi-modal in nature. In this work, we study the reconstruction or estimation of smooth signals on product graphs from noisy measurements. We motivate and present representations and algorithms that exploit the inherent structure in product graphs for better and more computationally efficient recovery. These contributions stem from the key insight that...
Paper Details
Title
Smooth Signal Recovery on Product Graphs
Published Date
May 12, 2019
Journal
Pages
4958 - 4962
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