Abstract: Hyperspectral unmixing (HU) has been one of the most challenging tasks in hyperspectral image research. Recently, nonnegative matrix factorization (NMF) has shown its superiority in ...

Abstract: Many real-world problems can be modeled as sparse matrix recovery from two-dimensional (2D) measurements, which is recognized as one of the most important topics in signal processing ...

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This repository contains the scripts and data from the "Robustness and resilience of complex networks" Nature Review Physics paper by Oriol Artime, Marco Grassia, Manlio De Domenico, James P. Gleeson, ...