Cite
An reconstruction bidirectional recurrent neural network ‐based deinterleaving method for known radar signals in open‐set scenarios.
MLA
Zheng, Haiping, et al. “An Reconstruction Bidirectional Recurrent Neural Network ‐based Deinterleaving Method for Known Radar Signals in Open‐set Scenarios.” IET Radar, Sonar & Navigation (Wiley-Blackwell), vol. 18, no. 6, June 2024, pp. 965–81. EBSCOhost, https://doi.org/10.1049/rsn2.12542.
APA
Zheng, H., Xie, K., Zhu, Y., Lin, J., & Wang, L. (2024). An reconstruction bidirectional recurrent neural network ‐based deinterleaving method for known radar signals in open‐set scenarios. IET Radar, Sonar & Navigation (Wiley-Blackwell), 18(6), 965–981. https://doi.org/10.1049/rsn2.12542
Chicago
Zheng, Haiping, Kai Xie, Yingshen Zhu, Jinjian Lin, and Lihong Wang. 2024. “An Reconstruction Bidirectional Recurrent Neural Network ‐based Deinterleaving Method for Known Radar Signals in Open‐set Scenarios.” IET Radar, Sonar & Navigation (Wiley-Blackwell) 18 (6): 965–81. doi:10.1049/rsn2.12542.