TY - GEN
T1 - Detecting underwater laguerre Gaussian modes using a convolutional neural network
AU - Trichili, Abderrahmen
AU - Ben Issaid, Chaouki
AU - Guo, Yujian
AU - Ng, Tien Khee
AU - Ooi, Boon S.
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2019/10/21
Y1 - 2019/10/21
N2 - We propose the use of a convolutional neural network (CNN) to detect single and superpositions of Laguerre Gaussian modes in an underwater environment which will open the doors towards fast and reliable underwater optical wireless communications.
AB - We propose the use of a convolutional neural network (CNN) to detect single and superpositions of Laguerre Gaussian modes in an underwater environment which will open the doors towards fast and reliable underwater optical wireless communications.
UR - http://hdl.handle.net/10754/661846
UR - https://www.osapublishing.org/abstract.cfm?URI=SPPCom-2019-SpT2E.4
UR - http://www.scopus.com/inward/record.url?scp=85077212746&partnerID=8YFLogxK
U2 - 10.1364/SPPCOM.2019.SpT2E.4
DO - 10.1364/SPPCOM.2019.SpT2E.4
M3 - Conference contribution
SN - 9781943580644
BT - OSA Advanced Photonics Congress (AP) 2019 (IPR, Networks, NOMA, SPPCom, PVLED)
PB - OSA
ER -