172 citations · 516 across the 28 of their papers we have counts for
3 papers · 1 filter
Graph Signal Processing: History, Development, Impact, and Outlook
Geert Leus, Antonio G. Marques, José M. F. Moura +2
Graph signal processing (GSP) generalizes signal processing (SP) tasks to signals living on non-Euclidean domains whose structure can be captured by a weighted graph. Graphs are ve…
GSP = DSP + Boundary Conditions -- The Graph Signal Processing Companion Model
John Shi, Jose M. F. Moura
The paper presents the graph signal processing (GSP) companion model that naturally replicates the basic tenets of classical signal processing (DSP) for GSP. The companion model sh…
Learning Gradients of Convex Functions with Monotone Gradient Networks
Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
While much effort has been devoted to deriving and analyzing effective convex formulations of signal processing problems, the gradients of convex functions also have critical appli…