Equivalence of Reconstruction From the Absolute Value of the Frame Coefficients to a Sparse Representation Problem

Abstract
The purpose of this letter is to prove, for real frames, that signal reconstruction from the absolute value of the frame coefficients is equivalent to solution of a sparse signal optimization problem, namely a minimum lscrp (quasi)norm over a linear constraint. This linear constraint reflects the coefficients relationship within the range of the analysis operator

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