articleIEEE Transactions on Information TheoryFeb 3, 2015GREEN OA

Phase Retrieval via Wirtinger Flow: Theory and Algorithms

EJEmmanuel J. CandèsXLXiaodong LiMSMahdi Soltanolkotabi

Stanford University · University of the Arts · +2 more institutions

Indexed inarxivcrossref

Abstract

We study the problem of recovering the phase from magnitude measurements; specifically, we wish to reconstruct a complex-valued signal $ \boldsymbol {x}\in \mathbb {C}^{n}$ about which we have phaseless samples of the form $y_{r} = \left |{\langle \boldsymbol {a}_{r}, \boldsymbol {x} \rangle }\right |^{2}$ , $r = 1,\ldots , m$ (knowledge of the phase of these samples would yield a linear system). This paper develops a nonconvex formulation of the phase retrieval problem as well as a concrete solution algorithm. In a nutshell, this algorithm starts with a careful initialization obtained by means of a spectral method, and then refines this initial estimate by iteratively applying novel update rules, which…

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1,017
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Authors

3
  • EJ
    Emmanuel J. CandèsCorresponding

    Stanford University

  • XL
    Xiaodong Li

    University of the Arts, University of Pennsylvania

  • MS
    Mahdi Soltanolkotabi

    University of Southern California

Topics & keywords

Keywords
  • Initialization
  • Phase retrieval
  • Iterated function
  • Gradient descent
  • Computational complexity theory
  • Sequence (biology)
  • Phase (matter)
  • Scheme (mathematics)
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