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Enhanced photonic time-stretch reservoir computing using all-optical input masks

Yue, Yuanli, Liu, Shouju, Zhai, Yanrong, Wang, Chao (2022) Enhanced photonic time-stretch reservoir computing using all-optical input masks. In: 2022 IEEE Photonics Conference (IPC). IEEE Photonics Conference (IPC) . pp. 1-2. IEEE E-ISBN 978-1-66543-487-4. (doi:10.1109/ipc53466.2022.9975723) (KAR id:99303)

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Input masks are essential in reservoir computing to enhance performance. Here we report a novel all-optical masking scheme for photonics time-stretch reservoir computing based on optical spectral filtering. This approach overcomes the electronic bottleneck in digital temporal masking and offers better performance in classification tasks.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/ipc53466.2022.9975723
Additional information: © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Funders: Engineering and Physical Sciences Research Council (
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 13 Jan 2023 16:09 UTC
Last Modified: 17 Jan 2023 10:27 UTC
Resource URI: (The current URI for this page, for reference purposes)
Wang, Chao:
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