Convergence characteristics of nonlinear phase retrieval

Jen Tang Lu, Chien Hung Lu, Jason W. Fleischer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We investigate the convergence characteristics of a phase retrieval algorithm using nonlinear diversity. The nonlinear algorithm has a non-monotonic convergence profile, giving a criterion for minimum phase error in the reconstruction.

Original languageEnglish (US)
Title of host publicationFrontiers in Optics, FIO 2013
PublisherOptical Society of America
ISBN (Print)9781557529879
StatePublished - Jan 1 2013
EventFrontiers in Optics, FIO 2013 - Orlando, FL, United States
Duration: Oct 6 2013Oct 10 2013

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Other

OtherFrontiers in Optics, FIO 2013
CountryUnited States
CityOrlando, FL
Period10/6/1310/10/13

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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  • Cite this

    Lu, J. T., Lu, C. H., & Fleischer, J. W. (2013). Convergence characteristics of nonlinear phase retrieval. In Frontiers in Optics, FIO 2013 (Optics InfoBase Conference Papers). Optical Society of America.