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Holographic data storage systems
Abstract
In this paper, we discuss fundamental issues underlying holographic data storage: grating formation, recording and readout of thick and thin holograms, multiplexing techniques, signal-to-noise ratio considerations, and readout techniques suitable for conventional, phase conjugate, and associative search data retrieval. Next, we consider holographic materials characteristics for digital data storage, followed by a discussion on photorefractive media, fixing techniques, and noise in photovoltaic and other media with a local response. Subsequently, we discuss photopolymer materials, followed by a discussion on system tradeoffs and a section on signal processing and en/decoding techniques, succeeded by a discussion on electronic implementations for control, signal encoding, and recovery. We proceed further by presenting significant demonstrations of digital holographic systems. We close by discussing the outlook for future holographic data storage systems and potential applications for which holographic data storage systems would be particularly suited.
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Citations
Cited by
Self-configuring universal linear optical component [Invited]
Miller, D. A. B. (2013) · Photonics Research · doi:10.1364/prj.1.000001 · Cited by 474
Harvey, I. (2024) · Artificial Life · doi:10.1162/artl_a_00427 · Cited by 6
Metadata
- Authors
- Hesselink, L., Orlov, S. S., & Bashaw, M. C.
- Venue
- Proceedings of the IEEE
- Published
- 2004-08
- Volume
- 92
- Issue
- 8
- Pages
- 1231-1280
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2007098467
- Cited by
- 345
- References
- 0
- FWCI
- 12.08
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hesselink, L., Orlov, S. S., & Bashaw, M. C. (2004). Holographic data storage systems. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2004.831212
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
