19 citations · 27 across the 10 of their papers we have counts for
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eess.SP2022★ 6 cited
Unrolled Compressed Blind-Deconvolution
Bahareh Tolooshams, Satish Mulleti, Demba Ba +1
The problem of sparse multichannel blind deconvolution (S-MBD) arises frequently in many engineering applications such as radar/sonar/ultrasound imaging. To reduce its computationa…
eess.SP2022
High-Dimensional Sparse Bayesian Learning without Covariance Matrices
Alexander Lin, Andrew H. Song, Berkin Bilgic +1
Sparse Bayesian learning (SBL) is a powerful framework for tackling the sparse coding problem. However, the most popular inference algorithms for SBL become too expensive for high-…