Sparse Recovery and Dictionary Learning From Nonlinear Compressive Measurements

DOI10.1109/TSP.2019.2941070OpenAlexW2972666141MaRDI QIDQ5240566

Mark D. Plumbley, Francis Bach, Lucas Rencker, Wenwu Wang

Publication date: 28 October 2019

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1809.09639

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

A Nonlinear Matrix Decomposition for Mining the Zeros of Sparse Data ⋮ Reconstruction of functions from prescribed proximal points ⋮ A Variational Inequality Model for the Construction of Signals from Inconsistent Nonlinear Equations

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