  Phase retrieval aims to recover a signal from magnitude or power spectra
measurements. It is often addressed by considering a minimization problem
involving a quadratic cost function. We propose a different formulation based
on Bregman divergences, which encompass divergences that are appropriate for
audio signal processing applications. We derive a fast gradient algorithm to
solve this problem.
