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Phase retrieval aims to recover a signal from magnitude or power spectrameasurements. It is often addressed by considering a minimization probleminvolving a quadratic cost function. We propose a different formulation basedon Bregman divergences, which encompass divergences that are appropriate foraudio signal processing applications. We derive a fast gradient algorithm tosolve this problem.

Phase retrieval with Bregman divergences: Application to audio signal recovery