Stable Optimizationless Recovery from Phaseless Linear Measurements

We address the problem of recovering an n-vector from m linear measurements lacking sign or phase information. We show that lifting and semidefinite relaxation suffice by themselves for stable recovery in the setting of m=O(nlogn) random sensing vectors, with high probability. The recovery method is...

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Bibliographic Details
Main Authors: Demanet, Laurent (Contributor), Hand, Paul (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Mathematics (Contributor)
Format: Article
Language:English
Published: Springer-Verlag, 2015-01-15T20:11:19Z.
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