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Experimental investigation of time-stretch-based reservoir computing with an optical input mask

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)

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
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.
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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