Yue, Yuanli, Liu, Shouju, Xu, Weichao, Wang, Chao (2023) Experimental investigation of time-stretch-based reservoir computing with an optical input mask. In: EOS Annual Meeting (EOSAM 2023). EPJ web Conferences EPJ (doi:10.1051/epjconf/202328713010) (KAR id:114705)
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| Official URL: https://doi.org/10.1051/epjconf/202328713010 |
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Abstract
In this paper, we experimentally demonstrated a novel all-optical reservoir computer with an all optical input mask. The combination of the binary random masks and the time-stretched ultrashort pulses has increased the system’s classification performance. Compared with the traditional digital masks, this method shows superior classification performance in spoken-digit classification tasks and eliminates the need for high-speed modulation for digital masks.
| Item Type: | Conference proceeding |
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| DOI/Identification number: | 10.1051/epjconf/202328713010 |
| Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering |
| Institutional Unit: | Schools > School of Engineering, Mathematics and Physics > Engineering |
| Former Institutional Unit: |
There are no former institutional units.
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| Depositing User: | Chao Wang |
| Date Deposited: | 11 May 2026 11:35 UTC |
| Last Modified: | 22 May 2026 11:18 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/114705 (The current URI for this page, for reference purposes) |
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https://orcid.org/0000-0002-7708-9459
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