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Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view

Publication ,  Journal Article
Renna, F; Calderbank, R; Carin, L; Rodrigues, MRD
Published in: 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
December 1, 2013

We characterize the minimum number of measurements needed to drive to zero the minimum mean squared error (MMSE) of Gaussian mixture model (GMM) input signals in the low-noise regime. The result also hints at almost phase-transition optimal recovery procedures based on a classification and reconstruction approach. © 2013 IEEE.

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Published In

2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings

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Publication Date

December 1, 2013

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628
 

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Renna, F., Calderbank, R., Carin, L., & Rodrigues, M. R. D. (2013). Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view. 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings, 628. https://doi.org/10.1109/GlobalSIP.2013.6736965
Renna, F., R. Calderbank, L. Carin, and M. R. D. Rodrigues. “Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view.” 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings, December 1, 2013, 628. https://doi.org/10.1109/GlobalSIP.2013.6736965.
Renna F, Calderbank R, Carin L, Rodrigues MRD. Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view. 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings. 2013 Dec 1;628.
Renna, F., et al. “Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view.” 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings, Dec. 2013, p. 628. Scopus, doi:10.1109/GlobalSIP.2013.6736965.
Renna F, Calderbank R, Carin L, Rodrigues MRD. Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view. 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings. 2013 Dec 1;628.

Published In

2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings

DOI

Publication Date

December 1, 2013

Start / End Page

628