Sparse Recovery Beyond Compressed Sensing : Separable Nonlinear Inverse Problems

Extracting information from nonlinear measurements is a fundamental challenge in data analysis. In this work, we consider separable inverse problems, where the data are modeled as a linear combination of functions that depend nonlinearly on certain parameters of interest. These parameters may repres...

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Veröffentlicht in:	IEEE transactions on information theory. - 1998. - 66(2020), 9 vom: 13. Sept., Seite 5904-5926
1. Verfasser:	Bernstein, Brett (VerfasserIn)
Weitere Verfasser:	Liu, Sheng, Papadaniil, Chrysa, Fernandez-Granda, Carlos
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2020
Zugriff auf das übergeordnete Werk:	IEEE transactions on information theory
Schlagworte:	Journal Article Sparse recovery convex programming correlated measurements dual certificates incoherence nonlinear inverse problems source localization