High-Dimensional MVDR Beamforming: Optimized Solutions Based on Spiked Random Matrix Models

Liusha Yang, Matthew R. Mckay, Romain Couillet

DOI: 10.1109/tsp.2018.2799183
Published: 2018-04-01
Container: IEEE Transactions on Signal Processing
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1109/tsp.2018.2799183,
  title = {High-Dimensional MVDR Beamforming: Optimized Solutions Based on Spiked Random Matrix Models},
  author = {Liusha Yang and Matthew R. Mckay and Romain Couillet},
  year = {2018},
  journal = {IEEE Transactions on Signal Processing},
  doi = {10.1109/tsp.2018.2799183},
  url = {https://doi.org/10.1109/tsp.2018.2799183}
}

RIS

TY  - JOUR
TI  - High-Dimensional MVDR Beamforming: Optimized Solutions Based on Spiked Random Matrix Models
AU  - Liusha Yang
AU  - Matthew R. Mckay
AU  - Romain Couillet
PY  - 2018
JO  - IEEE Transactions on Signal Processing
DO  - 10.1109/tsp.2018.2799183
UR  - https://doi.org/10.1109/tsp.2018.2799183
ER  -

APA

Yang, L., Mckay, M. R., & Couillet, R. (2018). High-Dimensional MVDR Beamforming: Optimized Solutions Based on Spiked Random Matrix Models. IEEE Transactions on Signal Processing. https://doi.org/10.1109/tsp.2018.2799183

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hal · retrieved 2026-11-10T08:53:59.139Z