Simulated Annealing-MVDR Beamformer Based on Maximum Likelihood DOA Estimation

Raungrong Suleesathira. Simulated Annealing-MVDR Beamformer Based on Maximum Likelihood DOA Estimation. In Pandian Vasant, Gerhard-Wilhelm Weber, Jose Antonio Marmolejo Saucedo, Elias Munapo, J. Joshua Thomas, editors, Intelligent Computing & Optimization - Proceedings of the 5th International Conference on Intelligent Computing and Optimization, ICO 2022, Hua Hin, Thailand, 27-28 October 2022. Volume 569 of Lecture Notes in Networks and Systems, pages 902-913, Springer, 2022. [doi]

@inproceedings{Suleesathira22,
  title = {Simulated Annealing-MVDR Beamformer Based on Maximum Likelihood DOA Estimation},
  author = {Raungrong Suleesathira},
  year = {2022},
  doi = {10.1007/978-3-031-19958-5_85},
  url = {https://doi.org/10.1007/978-3-031-19958-5_85},
  researchr = {https://researchr.org/publication/Suleesathira22},
  cites = {0},
  citedby = {0},
  pages = {902-913},
  booktitle = {Intelligent Computing & Optimization - Proceedings of the 5th International Conference on Intelligent Computing and Optimization, ICO 2022, Hua Hin, Thailand, 27-28 October 2022},
  editor = {Pandian Vasant and Gerhard-Wilhelm Weber and Jose Antonio Marmolejo Saucedo and Elias Munapo and J. Joshua Thomas},
  volume = {569},
  series = {Lecture Notes in Networks and Systems},
  publisher = {Springer},
  isbn = {978-3-031-19958-5},
}