Aluvihare, Hansaka, Sivasankar, Sivakumar, Li, Xianqi, Madanayake, Arjuna, and Perera, Sirani M. A Low-Complexity Structured Neural Network Approach to Intelligently Realize Wideband Multi-Beam Beamformers. Retrieved from https://par.nsf.gov/biblio/10653642. IEEE Journal of Radio Frequency Identification 9. Web. doi:10.1109/JRFID.2025.3602901.

Aluvihare, Hansaka, Sivasankar, Sivakumar, Li, Xianqi, Madanayake, Arjuna, & Perera, Sirani M. A Low-Complexity Structured Neural Network Approach to Intelligently Realize Wideband Multi-Beam Beamformers. IEEE Journal of Radio Frequency Identification, 9 (). Retrieved from https://par.nsf.gov/biblio/10653642. https://doi.org/10.1109/JRFID.2025.3602901

Aluvihare, Hansaka, Sivasankar, Sivakumar, Li, Xianqi, Madanayake, Arjuna, and Perera, Sirani M. "A Low-Complexity Structured Neural Network Approach to Intelligently Realize Wideband Multi-Beam Beamformers". IEEE Journal of Radio Frequency Identification 9 (). Country unknown/Code not available: IEEE. https://doi.org/10.1109/JRFID.2025.3602901. https://par.nsf.gov/biblio/10653642.

@article{osti_10653642,
place = {Country unknown/Code not available}, title = {A Low-Complexity Structured Neural Network Approach to Intelligently Realize Wideband Multi-Beam Beamformers}, url = {https://par.nsf.gov/biblio/10653642}, DOI = {10.1109/JRFID.2025.3602901}, abstractNote = {Not Available}, journal = {IEEE Journal of Radio Frequency Identification}, volume = {9}, publisher = {IEEE}, author = {Aluvihare, Hansaka and Sivasankar, Sivakumar and Li, Xianqi and Madanayake, Arjuna and Perera, Sirani M}, }