A Novel Dynamic Reweighted Sparse Bayesian Learning Algorithm
IEEE International Conference on Acoustic, Speech and Signal Processing
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Wang, Y., Wipf, D., Chen, W., & Wassell, I. (2014). A Novel Dynamic Reweighted Sparse Bayesian Learning Algorithm. IEEE International Conference on Acoustic, Speech and Signal Processing, 3345-3349. https://doi.org/10.1109/ICASSP.2014.6854220
We propose a novel dynamic reweighted ℓ2 (DRℓ2) algorithm in the regime of dynamic compressive sensing. Our analysis shows that aiming to solve a Type II optimization problem, DRℓ2 is effectively minimizing a `convex-concave' penalty in the coefficients that transitions from a convex region to a concave function using knowledge of past estimations. DRℓ2 thus provides superior reconstruction performance compared with state-of-the-art dynamic CS algorithms.
External DOI: https://doi.org/10.1109/ICASSP.2014.6854220
This record's URL: https://www.repository.cam.ac.uk/handle/1810/251289