Li Bao Cheng

Appointment: PhD Student (Graduated)

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1 to 10 of 10 Results

Replication Data for: Dilated convolutional neural networks for fiber Bragg grating signal demodulation Mar 9, 2021 Li, Bao Cheng, 2021, "Replication Data for: Dilated convolutional neural networks for fiber Bragg grating signal demodulation", https://doi.org/10.21979/N9/JUW9X9, DR-NTU (Data), V1, UNF:6:+LwjRvR3cWTH2HQ6hSNnMA== [fileUNF] The dataset comprises all the testing data to obtain the figures in the paper and the simulation Matlab code.
FBG simulation.m Mar 9, 2021 - Replication Data for: Dilated convolutional neural networks for fiber Bragg grating signal demodulation Plain Text - 2.2 KB - MD5: ffbce2e888055afec726c8535aa55b17
Fig 1c_RMS error vs del lamda using DCNN.tab Mar 9, 2021 - Replication Data for: Dilated convolutional neural networks for fiber Bragg grating signal demodulation Tabular Data - 1.4 KB - 3 Variables, 26 Observations - UNF:6:qy3YntoURmGV0+3HzNe56A==
Fig 2 a b_Reflected signal with SNR of 15 and 35 dB.tab Mar 9, 2021 - Replication Data for: Dilated convolutional neural networks for fiber Bragg grating signal demodulation Tabular Data - 111.6 KB - 3 Variables, 2003 Observations - UNF:6:b4sJ498VxBwqYUPt6QAffQ==
Fig 2 c_RMS error with different SNR for original and smoothed spectra.tab Mar 9, 2021 - Replication Data for: Dilated convolutional neural networks for fiber Bragg grating signal demodulation Tabular Data - 908 B - 3 Variables, 22 Observations - UNF:6:Eh1rcOiBDd2SIw2P4B7tXA==
Fig 3 a b c_RMS TE VE for different epoch.tab Mar 9, 2021 - Replication Data for: Dilated convolutional neural networks for fiber Bragg grating signal demodulation Tabular Data - 52.5 KB - 9 Variables, 300 Observations - UNF:6:T901Xvy5nejjWN5kUQc3Bg==
Fig 3 d_ RMS error for different DCNN layers.tab Mar 9, 2021 - Replication Data for: Dilated convolutional neural networks for fiber Bragg grating signal demodulation Tabular Data - 120 B - 3 Variables, 7 Observations - UNF:6:mjaVsy+mXjRLd5cWK3yzgg==
Fig 4 a_ RMS error vs del lamda for all four methods.tab Mar 9, 2021 - Replication Data for: Dilated convolutional neural networks for fiber Bragg grating signal demodulation Tabular Data - 356 B - 5 Variables, 10 Observations - UNF:6:1py91ls7Hn3t91/DNS9z4A==
Fig 4 b_RMS error vs small del lamda for all four methods.tab Mar 9, 2021 - Replication Data for: Dilated convolutional neural networks for fiber Bragg grating signal demodulation Tabular Data - 2.1 KB - 5 Variables, 26 Observations - UNF:6:o3DnV3ObwfBy78gxVFkwsQ==
Fig 5. RMS error for 2 4 and 8 channel.tab Mar 9, 2021 - Replication Data for: Dilated convolutional neural networks for fiber Bragg grating signal demodulation Tabular Data - 981 B - 4 Variables, 15 Observations - UNF:6:kO8dz/pxTaSUVshLqqb4lQ==

Replication Data for: Dilated convolutional neural networks for fiber Bragg grating signal demodulation

Mar 9, 2021

Li, Bao Cheng, 2021, "Replication Data for: Dilated convolutional neural networks for fiber Bragg grating signal demodulation", https://doi.org/10.21979/N9/JUW9X9, DR-NTU (Data), V1, UNF:6:+LwjRvR3cWTH2HQ6hSNnMA== [fileUNF]

The dataset comprises all the testing data to obtain the figures in the paper and the simulation Matlab code.

FBG simulation.m

Mar 9, 2021 - Replication Data for: Dilated convolutional neural networks for fiber Bragg grating signal demodulation

Plain Text - 2.2 KB -

Fig 1c_RMS error vs del lamda using DCNN.tab

Mar 9, 2021 - Replication Data for: Dilated convolutional neural networks for fiber Bragg grating signal demodulation

Tabular Data - 1.4 KB - 3 Variables, 26 Observations -

Fig 2 a b_Reflected signal with SNR of 15 and 35 dB.tab

Mar 9, 2021 - Replication Data for: Dilated convolutional neural networks for fiber Bragg grating signal demodulation

Tabular Data - 111.6 KB - 3 Variables, 2003 Observations -

Fig 2 c_RMS error with different SNR for original and smoothed spectra.tab

Mar 9, 2021 - Replication Data for: Dilated convolutional neural networks for fiber Bragg grating signal demodulation