Song, Haotian, Nie, Xiaoyu, Su, Hairong, Chen, Hui, Zhou, Yu, Zhao, Xingchen, Peng, Tao, and Scully, Marlan O. 0.8% Nyquist computational ghost imaging via non-experimental deep learning. Retrieved from https://par.nsf.gov/biblio/10348545. Optics Communications 520.C Web. doi:10.1016/j.optcom.2022.128450.

Song, Haotian, Nie, Xiaoyu, Su, Hairong, Chen, Hui, Zhou, Yu, Zhao, Xingchen, Peng, Tao, & Scully, Marlan O. 0.8% Nyquist computational ghost imaging via non-experimental deep learning. Optics Communications, 520 (C). Retrieved from https://par.nsf.gov/biblio/10348545. https://doi.org/10.1016/j.optcom.2022.128450

Song, Haotian, Nie, Xiaoyu, Su, Hairong, Chen, Hui, Zhou, Yu, Zhao, Xingchen, Peng, Tao, and Scully, Marlan O. "0.8% Nyquist computational ghost imaging via non-experimental deep learning". Optics Communications 520 (C). Country unknown/Code not available. https://doi.org/10.1016/j.optcom.2022.128450. https://par.nsf.gov/biblio/10348545.

@article{osti_10348545,
place = {Country unknown/Code not available}, title = {0.8% Nyquist computational ghost imaging via non-experimental deep learning}, url = {https://par.nsf.gov/biblio/10348545}, DOI = {10.1016/j.optcom.2022.128450}, abstractNote = {}, journal = {Optics Communications}, volume = {520}, number = {C}, author = {Song, Haotian and Nie, Xiaoyu and Su, Hairong and Chen, Hui and Zhou, Yu and Zhao, Xingchen and Peng, Tao and Scully, Marlan O.}, }