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Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse Problems

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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 ... ...