WEKO3
アイテム
Additional Pattern Design Method Using Deep Learning for Multi-Level Self-Referential Holographic Data Storage
http://hdl.handle.net/10228/0002001764
http://hdl.handle.net/10228/0002001764320b759e-d261-48bc-83bf-8346f0281f89
| 名前 / ファイル | ライセンス | アクション |
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neuro_106.pdf (242.8 KB)
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| アイテムタイプ | 共通アイテムタイプ(1) | |||||||||||
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| 公開日 | 2025-07-10 | |||||||||||
| タイトル | ||||||||||||
| タイトル | Additional Pattern Design Method Using Deep Learning for Multi-Level Self-Referential Holographic Data Storage | |||||||||||
| 言語 | en | |||||||||||
| 著者 |
Iwamoto, Ryotaro
× Iwamoto, Ryotaro
× 高林, 正典
WEKO
35482
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| 抄録 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | Self-referential holographic data storage (SR-HDS) is one implementation of holographic data storage (HDS) and can record information using a single beam geometry [1]. In SR-HDS, two patterns are utilized: one is the signal pattern (SP), which is the pattern to be recorded, and the other is an arbitrary pattern, referred to as the additional pattern (AP). For the SP to be correctly recorded, its pixel values must meet certain conditions. For example, binary patterns with the phase difference of π when phase modulated are unacceptable. Determining the pixel values for multi-level SPs can be particularly challenging. The method where SP pixel values are theoretically or numerically determined and phase-only modulation is used is referred to as the unequally spaced phase modulation (USPM) method, because the pixel values in SPs are generally unequally spaced. The complex amplitude modulation (CAM) method, on the other hand, is also acceptable. The CAM method uses binary phase modulation with m/2-level amplitude modulation to record m-value data pages [2]. On the other hand, for APs, it is beneficial to select an AP such that the spatial power spectrum of the light modulated by the sum of SP and AP becomes broader. We have proposed several methods to obtain such APs [3,4]. One method uses a searching algorithm (SA). While it has been shown that the SA-based AP design method improves reconstruction quality, it requires a significant amount of time to design an AP. Another method uses deep learning (DL), which achieves the improvement of the reconstruction quality as well as SA-based method with relatively short design time [4]. In this method, pairs of SP and AP designed by the SA-based method are used to train a deep neural network, allowing the designed AP to be quickly generated for arbitrary SPs. One strategy to achieve high recording density in SR-HDS is to record high-quality multi-level SPs. However, the DL-based AP design method for multi-level SPs has not been explored. In this paper, we propose and numerically demonstrate the application of the DL-based AP design method to multi-level SR-HDS realized by the USPM and CAM methods. |
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| 言語 | en | |||||||||||
| 備考 | ||||||||||||
| 内容記述タイプ | Other | |||||||||||
| 内容記述 | International Symposium on Imaging, Sensing, and Optical Memory 2024, ISOM’24, October 20-23, 2024, Arcrea HIMEJI, Himeji, Hyogo, Japan | |||||||||||
| 言語 | en | |||||||||||
| 書誌情報 |
en : International Symposium on Imaging, Sensing and Optical Memory (ISOM '24) Technical Digest p. Tu-E-04, 発行日 2024-10 |
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| 出版社 | ||||||||||||
| 出版者 | 日本光学会 | |||||||||||
| 言語 | ja | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
| 資源タイプ | ||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||||
| 資源タイプ | conference paper | |||||||||||
| 出版タイプ | ||||||||||||
| 出版タイプ | AM | |||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||
| 会議記述 | ||||||||||||
| 会議名 | International Symposium on Imaging, Sensing, and Optical Memory 2024, ISOM’24 | |||||||||||
| 言語 | en | |||||||||||
| 開始年 | 2024 | |||||||||||
| 開始月 | 10 | |||||||||||
| 開始日 | 20 | |||||||||||
| 終了年 | 2024 | |||||||||||
| 終了月 | 10 | |||||||||||
| 終了日 | 23 | |||||||||||
| 開催会場 | Arcrea HIMEJI | |||||||||||
| 言語 | en | |||||||||||
| 開催地 | Hyogo | |||||||||||
| 言語 | en | |||||||||||
| 開催国 | JPN | |||||||||||
| 研究者情報 | ||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/100000508_ja.html | |||||||||||
| 連携ID | ||||||||||||
| 値 | 14647 | |||||||||||
