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Adapted statistical compressive sensing: Learning to sense gaussian mixture models

Publication ,  Journal Article
Duarte-Carvajalino, JM; Yu, G; Carin, L; Sapiro, G
Published in: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
October 23, 2012

A framework for learning sensing kernels adapted to signals that follow a Gaussian mixture model (GMM) is introduced in this paper. This follows the paradigm of statistical compressive sensing (SCS), where a statistical model, a GMM in particular, replaces the standard sparsity model of classical compressive sensing (CS), leading to both theoretical and practical improvements. We show that the optimized sensing matrix outperforms random sampling matrices originally exploited both in CS and SCS. © 2012 IEEE.

Duke Scholars

Published In

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

DOI

ISSN

1520-6149

Publication Date

October 23, 2012

Start / End Page

3653 / 3656
 

Citation

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Duarte-Carvajalino, J. M., Yu, G., Carin, L., & Sapiro, G. (2012). Adapted statistical compressive sensing: Learning to sense gaussian mixture models. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 3653–3656. https://doi.org/10.1109/ICASSP.2012.6288708
Duarte-Carvajalino, J. M., G. Yu, L. Carin, and G. Sapiro. “Adapted statistical compressive sensing: Learning to sense gaussian mixture models.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, October 23, 2012, 3653–56. https://doi.org/10.1109/ICASSP.2012.6288708.
Duarte-Carvajalino JM, Yu G, Carin L, Sapiro G. Adapted statistical compressive sensing: Learning to sense gaussian mixture models. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012 Oct 23;3653–6.
Duarte-Carvajalino, J. M., et al. “Adapted statistical compressive sensing: Learning to sense gaussian mixture models.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Oct. 2012, pp. 3653–56. Scopus, doi:10.1109/ICASSP.2012.6288708.
Duarte-Carvajalino JM, Yu G, Carin L, Sapiro G. Adapted statistical compressive sensing: Learning to sense gaussian mixture models. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012 Oct 23;3653–3656.

Published In

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

DOI

ISSN

1520-6149

Publication Date

October 23, 2012

Start / End Page

3653 / 3656