Dynamic Updating for � � Minimization

The theory of compressive sensing (CS) has shown us that under certain conditions, a sparse signal can be recovered from a small number of linear incoherent measurements. An effective class of reconstruction algorithms involve solving a convex optimization program that balances the norm of the solution against a data fidelity term. Tremendous progress has… (More)

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