Zheng, Ruxin, Sun, Shunqiao, Liu, Hongshan, Chen, Honglei, and Li, Jian. Interpretable and Efficient Beamforming-Based Deep Learning for Single-Snapshot DOA Estimation. Retrieved from https://par.nsf.gov/biblio/10589624. IEEE Sensors Journal 24.14 Web. doi:10.1109/JSEN.2023.3338575.

Zheng, Ruxin, Sun, Shunqiao, Liu, Hongshan, Chen, Honglei, & Li, Jian. Interpretable and Efficient Beamforming-Based Deep Learning for Single-Snapshot DOA Estimation. IEEE Sensors Journal, 24 (14). Retrieved from https://par.nsf.gov/biblio/10589624. https://doi.org/10.1109/JSEN.2023.3338575

Zheng, Ruxin, Sun, Shunqiao, Liu, Hongshan, Chen, Honglei, and Li, Jian. "Interpretable and Efficient Beamforming-Based Deep Learning for Single-Snapshot DOA Estimation". IEEE Sensors Journal 24 (14). Country unknown/Code not available: IEEEXplore. https://doi.org/10.1109/JSEN.2023.3338575. https://par.nsf.gov/biblio/10589624.

@article{osti_10589624,
place = {Country unknown/Code not available}, title = {Interpretable and Efficient Beamforming-Based Deep Learning for Single-Snapshot DOA Estimation}, url = {https://par.nsf.gov/biblio/10589624}, DOI = {10.1109/JSEN.2023.3338575}, abstractNote = {}, journal = {IEEE Sensors Journal}, volume = {24}, number = {14}, publisher = {IEEEXplore}, author = {Zheng, Ruxin and Sun, Shunqiao and Liu, Hongshan and Chen, Honglei and Li, Jian}, }