Phase Retrieval Using Feasible Point Pursuit: Algorithms and Cramér–Rao Bound
Phase Retrieval Using Feasible Point Pursuit: Algorithms and Cramér–Rao Bound
Reconstructing a signal from squared linear (rank-one quadratic) measurements is a challenging problem with important applications in optics and imaging, where it is known as phase retrieval. This paper proposes two new phase retrieval algorithms based on non-convex quadratically constrained quadratic programming (QCQP) formulations, and a recently proposed approximation technique …