Sparse Recovery with Linear and Nonlinear Observations: Dependent and Noisy Data

12 Mar 2014Cem AksoylarVenkatesh Saligrama

We formulate sparse support recovery as a salient set identification problem and use information-theoretic analyses to characterize the recovery performance and sample complexity. We consider a very general model where we are not restricted to linear models or specific distributions... (read more)

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