Fundamental Limits of PhaseMax for Phase Retrieval: A Replica Analysis

Citation:

O. Dhifallah and Y. M. Lu, “Fundamental Limits of PhaseMax for Phase Retrieval: A Replica Analysis,” in the 7th IEEE Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017.

Abstract:

We consider a recently proposed convex formulation, known as the PhaseMax method, for solving the phase retrieval problem. Using the replica method from statistical mechanics, we analyze the performance of PhaseMax in the high-dimensional limit. Our analysis predicts the exact asymptotic performance of PhaseMax. In particular, we show that a sharp phase transi- tion phenomenon takes place, with a simple analytical formula characterizing the phase transition boundary. This result shows that the oversampling ratio required by existing performance bounds in the literature can be significantly reduced. Numerical results confirm the validity of our replica analysis, showing that the theoretical predictions are in excellent agreement with the actual performance of the algorithm, even for moderate signal dimensions. 

Notes:

This paper won the Best Student Paper Award (First Prize) at the 2017 IEEE CAMSAP Workshop.

The predictions made in this paper via the non-rigorous replica method has since been rigorously established in our latest work.

arXiv:1708.03355

Last updated on 12/13/2017