Graph-signal Reconstruction and Blind Deconvolution for Structured Inputs

David Ramírez, Antonio G. Marques, Santiago Segarra

Abstract: Highlights•This paper provides a comprehensive view of several sampling, reconstruction, and recovery problems for signals defined on irregular domains that can be accurately represented by a graph.•The (partially) observed signals can be modeled as the output of a graph filter to a structured input graph signal.•We consider several assumptions about the prior information: known/unknown input signals and known/unknown filter coefficients