Schulz-Snyder Phase Retrieval Algorithm as an Alternating Minimization Algorithm

Date

2011-07-10

Author

Öktem, Sevinç Figen

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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.

Subject Keywords

Alternating minimization, Alternating minimization algorithms, Nonglobal solutions, Numerical experiments, Phase retrieval algorithm, Numerical methods, Phase shifters, Algorithms

URI

https://hdl.handle.net/11511/87189
https://www.scopus.com/record/display.uri?eid=2-s2.0-84893548207&origin=resultslist

DOI

https://doi.org/10.1364/COSI.2011.CMC3

Conference Name

Computational Optical Sensing and Imaging, COSI 2011; 10 July - 14 July 2011

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

S. F. Öktem, “Schulz-Snyder Phase Retrieval Algorithm as an Alternating Minimization Algorithm,” presented at the Computational Optical Sensing and Imaging, COSI 2011; 10 July - 14 July 2011, Toronto; Canada, 2011, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/87189.