PRIME: Phase retrieval via majorization-minimization technique

This paper considers the phase retrieval problem where the measurements consist of only the magnitude of several linear measurements of the unknown. In total, four algorithms are proposed using different majorization-minimization techniques. They are preferred to existing benchmark methods since at each iteration a simple closed- form solution is computed to monotonically decrease the original objective function. Experimental results validate that our algorithms outperform existing methods in terms of mean square error and successful recovery.