Ding, X.; Yang, L.; Yi, M.; Zhang, Z.; Liu, Z.; Liu, H.
WER-Net: A New Lightweight Wide-Spectrum Encoding and Reconstruction Neural Network Applied to Computational Spectrum. Sensors 2022, 22, 6089.
https://doi.org/10.3390/s22166089
AMA Style
Ding X, Yang L, Yi M, Zhang Z, Liu Z, Liu H.
WER-Net: A New Lightweight Wide-Spectrum Encoding and Reconstruction Neural Network Applied to Computational Spectrum. Sensors. 2022; 22(16):6089.
https://doi.org/10.3390/s22166089
Chicago/Turabian Style
Ding, Xinran, Lin Yang, Mingyang Yi, Zhiteng Zhang, Zhen Liu, and Huaiyuan Liu.
2022. "WER-Net: A New Lightweight Wide-Spectrum Encoding and Reconstruction Neural Network Applied to Computational Spectrum" Sensors 22, no. 16: 6089.
https://doi.org/10.3390/s22166089
APA Style
Ding, X., Yang, L., Yi, M., Zhang, Z., Liu, Z., & Liu, H.
(2022). WER-Net: A New Lightweight Wide-Spectrum Encoding and Reconstruction Neural Network Applied to Computational Spectrum. Sensors, 22(16), 6089.
https://doi.org/10.3390/s22166089