Cite
System impairment compensation in coherent optical communications by using a bio-inspired detector based on artificial neural network and genetic algorithm.
MLA
Wang, Danshi, et al. “System Impairment Compensation in Coherent Optical Communications by Using a Bio-Inspired Detector Based on Artificial Neural Network and Genetic Algorithm.” Optics Communications, vol. 399, Sept. 2017, pp. 1–12. EBSCOhost, https://doi.org/10.1016/j.optcom.2017.04.050.
APA
Wang, D., Zhang, M., Li, Z., Song, C., Fu, M., Li, J., & Chen, X. (2017). System impairment compensation in coherent optical communications by using a bio-inspired detector based on artificial neural network and genetic algorithm. Optics Communications, 399, 1–12. https://doi.org/10.1016/j.optcom.2017.04.050
Chicago
Wang, Danshi, Min Zhang, Ze Li, Chuang Song, Meixia Fu, Jin Li, and Xue Chen. 2017. “System Impairment Compensation in Coherent Optical Communications by Using a Bio-Inspired Detector Based on Artificial Neural Network and Genetic Algorithm.” Optics Communications 399 (September): 1–12. doi:10.1016/j.optcom.2017.04.050.