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Schulz-Snyder Phase Retrieval Algorithm as an Alternating Minimization Algorithm

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Abstract

We derive the Schulz-Snyder phase retrieval algorithm as an alternating minimization method, and discuss its advantages and drawbacks. An annealing-type Schulz-Snyder algorithm is proposed to avoid convergence to nonglobal solutions. Numerical experiments which suggest the effectiveness of the proposed method are presented.

© 2011 Optical Society of America

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