Yongsung Park, Santosh Nannuru, Kai Gemba and Peter Gerstoft

Multi-frequency DOA matlab (Kai)

Multi-frequency DOA Phyton (Peter based on Kai's example)

Pyroomacoustics and SBL (Peter). The Python version has not been used since summer 2020. The file Y_test_beta.mat can be downloaded here: http:https://noiselab.ucsd.edu/Zipfiles/Y_test_beta.mat

Gerstoft, Peter, Christoph F. Mecklenbräuker, Angeliki Xenaki, Santosh Nannuru (2016), Multisnapshot sparse Bayesian Learning for DOA, IEEE Signal Process. Lett., Vol 23, 1469-1473 doi:10.1109/LSP.2016.2598550 ,

Gemba, Kay L., Santosh Nannuru, Peter Gerstoft, William S. Hodgkiss (2017), Multi-frequency sparse Bayesian learning for robust matched field processing, J Acoust. Soc. Am. 141, 3411-3420, DOI: 10.1121/1.4983467.

Santosh Nannuru, Ali Koochakzadeh, Kay Gemba, Piya Pal, Peter Gerstoft, Sparse Bayesian learning for DOA estimation using sparse linear arrays, J Acoust. Soc. Am., 144, 2719-2730 https://doi.org/10.1121/1.5066457

Kay L. Gemba, Santosh Nannuru, and Peter Gerstoft (2019), Ocean acoustic localization with sparse Bayesian learning in non-stationary noise, IEEE J. Selected Signal Process. Vol 13, 49--60. https://doi.org/10.1109/JSTSP.2019.2900912

Santosh Nannuru, Kay L. Gemba, Peter Gerstoft, William S. Hodgkiss, Christoph Mecklenbrauker, Sparse Bayesian learning with multiple dictionaries, Signal Process 159, June 2019, Pages 159-170 arXiv https://doi.org/10.1016/j.sigpro.2019.02.003