4 papers · 1 filter
SLoG-Net: Algorithm Unrolling for Source Localization on Graphs
Chang Ye, Gonzalo Mateos
We present a novel model-based deep learning solution for the inverse problem of localizing sources of network diffusion. Starting from first graph signal processing (GSP) principl…
Blind Deconvolution of Graph Signals: Robustness to Graph Perturbations
Chang Ye, Gonzalo Mateos
We study blind deconvolution of signals defined on the nodes of an undirected graph. Although observations are bilinear functions of both unknowns, namely the forward convolutional…
Blind Deconvolution on Graphs: Exact and Stable Recovery
Chang Ye, Gonzalo Mateos
We study a blind deconvolution problem on graphs, which arises in the context of localizing a few sources that diffuse over networks. While the observations are bilinear functions…
Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs
Chang Ye, Rasoul Shafipour, Gonzalo Mateos
This paper deals with problem of blind identification of a graph filter and its sparse input signal, thus broadening the scope of classical blind deconvolution of temporal and spat…