Phase retrieval in holographic data storage by expanded spectrum combined with dynamic sampling method.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
02 Nov 2023
02 Nov 2023
Historique:
received:
07
05
2023
accepted:
31
10
2023
medline:
3
11
2023
pubmed:
3
11
2023
entrez:
3
11
2023
Statut:
epublish
Résumé
Phase retrieval in holographic data storage by expanded spectrum combined with dynamic sampling method is proposed, which serves to both reduce media consumption and to shorten the iterative number of phase code retrieval. Generally, high-fidelity phase retrieval requires twice Nyquist frequency in phase-modulated holographic data storage. To increase storage density, we only recorded and captured the signal with Nyquist size and used the frequency expanded method to realize high-fidelity phase retrieval. In the decoding process, the iterative Fourier transform algorithm is used to retrieve the phase information of the reconstructed beam. The expanded spectrum is dynamically sampled, which can provide a faster convergence path for the phase retrieval. We aimed to demonstrate the possibility of integrating various methods on the Fourier domain and providing a potential way to improve the performance of holographic data storage systems. The simulation and experimental results proved the combination of processing methods in frequency spectrum was benefit.
Identifiants
pubmed: 37919360
doi: 10.1038/s41598-023-46357-9
pii: 10.1038/s41598-023-46357-9
pmc: PMC10622501
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
18912Subventions
Organisme : National Key Research and Development Program of China
ID : 2018YFA0701800
Organisme : Project of Fujian Province Major Science and Technology
ID : 2020HZ01012
Organisme : National Natural Science Foundation of China
ID : U22A2080
Informations de copyright
© 2023. The Author(s).
Références
Ultramicroscopy. 2009 Sep;109(10):1256-62
pubmed: 19541420
Opt Express. 2013 Mar 11;21(5):6162-8
pubmed: 23482184
Opt Express. 2017 Jan 23;25(2):1326-1338
pubmed: 28158016
Opt Express. 2016 Jan 25;24(2):1641-7
pubmed: 26832542
Appl Opt. 2005 May 1;44(13):2575-9
pubmed: 15881066
Opt Lett. 1993 Jun 1;18(11):915
pubmed: 19802314
Opt Express. 2001 Aug 13;9(4):191-9
pubmed: 19421289
Opt Express. 2020 Jan 6;28(1):511-518
pubmed: 32118977
Opt Express. 2017 Dec 11;25(25):30905-30915
pubmed: 29245770
Opt Express. 2021 Mar 1;29(5):6726-6736
pubmed: 33726187
Nature. 2003 Apr 10;422(6932):556-8
pubmed: 12686969
Appl Opt. 2005 Jun 1;44(16):3197-207
pubmed: 15943253
Appl Opt. 1997 Jan 10;36(2):514-7
pubmed: 18250702
Opt Lett. 1992 Oct 15;17(20):1471
pubmed: 19798217
Science. 1994 Aug 5;265(5173):749-52
pubmed: 17736271
Opt Lett. 1995 Apr 1;20(7):782-4
pubmed: 19859328
Micron. 2002;33(5):411-6
pubmed: 11976028