Blind Deconvolutional Phase Retrieval via Convex Programming

Ali Ahmed, Alireza Aghasi, Paul Hand

Neural Information Processing Systems 

We consider the task of recovering two real or complex m-vectors from phaseless Fourier measurements of their circular convolution. Our method is a novel convex relaxation that is based on a lifted matrix recovery formulation that allows a nontrivial convex relaxation of the bilinear measurements from convolution.

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