Phase Retrieval Under a Generative Prior

NeurIPS 2018 Paul HandOscar LeongVladislav Voroninski

The phase retrieval problem asks to recover a natural signal $y_0 \in \mathbb{R}^n$ from $m$ quadratic observations, where $m$ is to be minimized. As is common in many imaging problems, natural signals are considered sparse with respect to a known basis, and the generic sparsity prior is enforced via $\ell_1$ regularization... (read more)

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