Sequential sparse Bayesian learning for directions-of-arrival

A set of MATLAB codes for direction-of-arrival (DOA) estimation, beamforming.

Features

The codes provide:

-[example.m]

Citation

-Y. Park, F. Meyer, and P. Gerstoft, “Sequential sparse Bayesian learning for time-varying direction of arrival,” J. Acoust. Soc. Am. 149(3) (2021).
-Y. Park, F. Meyer, and P. Gerstoft, “Sequential sparse Bayesian learning for DOA,” in Proc. Asilomar Conf. Signals Syst. Comput. (2020).

[pdf]

SBL implementation is also available. [CODE]
-P. Gerstoft, C. F. Mecklenbräuker, A. Xenaki, and S. Nannuru, “Multi-snapshot sparse Bayesian learning for DOA,” IEEE Signal Process. Lett. 23(10) (2016).

Variational Bayes method (VALSE) implementation is also available. [CODE]
-Y. Park, F. Meyer, and P. Gerstoft, “Graph-based sequential beamforming,” J. Acoust. Soc. Am. 153(1) (2023).

Updates

Version 1.0: (03/29/2021 by Y. Park)

Contact

Yongsung Park, Florian Meyer, & Peter Gerstoft
MPL/SIO/UCSD
[email protected]
[email protected]
[email protected]

Noiselab / F. Meyer's lab