Cite
Solving Complex-Valued Time-Varying Linear Matrix Equations via QR Decomposition With Applications to Robotic Motion Tracking and on Angle-of-Arrival Localization.
MLA
Katsikis, Vasilios N., et al. “Solving Complex-Valued Time-Varying Linear Matrix Equations via QR Decomposition With Applications to Robotic Motion Tracking and on Angle-of-Arrival Localization.” IEEE Transactions on Neural Networks & Learning Systems, vol. 33, no. 8, Aug. 2022, pp. 3415–24. EBSCOhost, https://doi.org/10.1109/TNNLS.2021.3052896.
APA
Katsikis, V. N., Mourtas, S. D., Stanimirovic, P. S., & Zhang, Y. (2022). Solving Complex-Valued Time-Varying Linear Matrix Equations via QR Decomposition With Applications to Robotic Motion Tracking and on Angle-of-Arrival Localization. IEEE Transactions on Neural Networks & Learning Systems, 33(8), 3415–3424. https://doi.org/10.1109/TNNLS.2021.3052896
Chicago
Katsikis, Vasilios N., Spyridon D. Mourtas, Predrag S. Stanimirovic, and Yunong Zhang. 2022. “Solving Complex-Valued Time-Varying Linear Matrix Equations via QR Decomposition With Applications to Robotic Motion Tracking and on Angle-of-Arrival Localization.” IEEE Transactions on Neural Networks & Learning Systems 33 (8): 3415–24. doi:10.1109/TNNLS.2021.3052896.