SDASNov 25, 2020

Phase retrieval with Bregman divergences: Application to audio signal recovery

arXiv:2011.12818v122 citations
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This work provides a new mathematical formulation and algorithm for phase retrieval, potentially benefiting researchers and practitioners in audio signal processing.

This paper addresses phase retrieval, the problem of reconstructing a signal from its magnitude or power spectra, by proposing a new formulation based on Bregman divergences. They developed a fast gradient algorithm to solve this problem, which is particularly suited for audio signal processing applications.

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.

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