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

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 lscr
^p
(quasi)norm over a linear constraint. This linear constraint reflects the coefficients relationship within the range of the analysis operator