受强制性开放获取政策约束的文章 - Rohan R. Pote了解详情
无法在其他位置公开访问的文章：2 篇
Robustness of sparse Bayesian learning in correlated environments
RR Pote, BD Rao
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
强制性开放获取政策： US Department of Defense
Reduced dimension beamspace design incorporating nested array for mmwave channel estimation
RR Pote, BD Rao
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1212-1216, 2019
强制性开放获取政策： US Department of Defense
可在其他位置公开访问的文章：4 篇
Maximum likelihood-based gridless doa estimation using structured covariance matrix recovery and sbl with grid refinement
RR Pote, BD Rao
IEEE Transactions on Signal Processing 71, 802-815, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense
Light-weight sequential sbl algorithm: An alternative to omp
RR Pote, BD Rao
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
强制性开放获取政策： US National Science Foundation
Maximum likelihood structured covariance matrix estimation and connections to SBL: A path to gridless DoA estimation
RR Pote, BD Rao
2022 56th Asilomar Conference on Signals, Systems, and Computers, 970-974, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
A Novel Bayesian Approach for the Two-Dimensional Harmonic Retrieval Problem
RR Pote, BD Rao
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
强制性开放获取政策： US Department of Defense
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