A Low-Complexity Minimum Variance Algorithm Combined with Eigenvalue Decomposition for Ultrasound Imaging

Ping Wang, Lu Kong, Yizhe Shi. A Low-Complexity Minimum Variance Algorithm Combined with Eigenvalue Decomposition for Ultrasound Imaging. In Proceedings of the 3rd International Conference on Compute and Data Analysis, ICCDA 2019, Kahului, HI, USA, March 14-17, 2019. pages 147-151, ACM, 2019. [doi]

@inproceedings{WangKS19-3,
  title = {A Low-Complexity Minimum Variance Algorithm Combined with Eigenvalue Decomposition for Ultrasound Imaging},
  author = {Ping Wang and Lu Kong and Yizhe Shi},
  year = {2019},
  doi = {10.1145/3314545.3314570},
  url = {https://doi.org/10.1145/3314545.3314570},
  researchr = {https://researchr.org/publication/WangKS19-3},
  cites = {0},
  citedby = {0},
  pages = {147-151},
  booktitle = {Proceedings of the 3rd International Conference on Compute and Data Analysis, ICCDA 2019, Kahului, HI, USA, March 14-17, 2019},
  publisher = {ACM},
  isbn = {978-1-4503-6634-2},
}