Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106980
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dc.contributorDepartment of Electrical and Electronic Engineering-
dc.creatorWei, Zen_US
dc.creatorChen, Wen_US
dc.creatorQiu, CWen_US
dc.creatorChen, Xen_US
dc.date.accessioned2024-06-07T00:59:22Z-
dc.date.available2024-06-07T00:59:22Z-
dc.identifier.issn1084-7529en_US
dc.identifier.urihttp://hdl.handle.net/10397/106980-
dc.language.isoenen_US
dc.publisherOptica Publishing Groupen_US
dc.rightsJournal © 2017 Optical Society of Americaen_US
dc.rights© 2017 Optica Publishing Group. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modifications of the content of this paper are prohibited.en_US
dc.rightsThe following publication Zhun Wei, Wen Chen, Cheng-Wei Qiu, and Xudong Chen, "Conjugate gradient method for phase retrieval based on the Wirtinger derivative," J. Opt. Soc. Am. A 34, 708-712 (2017) is available at https://doi.org/10.1364/JOSAA.34.000708.en_US
dc.titleConjugate gradient method for phase retrieval based on the Wirtinger derivativeen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage708en_US
dc.identifier.epage712en_US
dc.identifier.volume34en_US
dc.identifier.issue5en_US
dc.identifier.doi10.1364/JOSAA.34.000708en_US
dcterms.abstractA conjugate gradient Wirtinger flow (CG-WF) algorithm for phase retrieval is proposed in this paper. It is shown that, compared with recently reported Wirtinger flow and its modified methods, the proposed CG-WF algorithm is able to dramatically accelerate the convergence rate while keeping the dominant computational cost of each iteration unchanged. We numerically illustrate the effectiveness of our method in recovering 1D Gaussian signals and 2D natural color images under both Gaussian and coded diffraction pattern models.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of the Optical Society of America A: Optics and Image Science, and Vision, 1 May 2017, v. 34, no. 5, p. 708-712en_US
dcterms.isPartOfJournal of the Optical Society of America. A, Optics, image science, and visionen_US
dcterms.issued2017-05-01-
dc.identifier.scopus2-s2.0-85019064657-
dc.identifier.eissn1520-8532en_US
dc.description.validate202405 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberEIE-0717-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6745459-
dc.description.oaCategoryGreen (AAM)en_US
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