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Reconstruction of sparse signals from highly corrupted measurements by nonconvex minimization (CROSBI ID 610571)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Filipović, Marko Reconstruction of sparse signals from highly corrupted measurements by nonconvex minimization // Proceedings of the 2014 IEEE International Conference on ACoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers (IEEE), 2014. str. 3395-3399

Podaci o odgovornosti

Filipović, Marko

engleski

Reconstruction of sparse signals from highly corrupted measurements by nonconvex minimization

We propose a method for signal recovery in compressed sensing when measurements can be highly corrupted. It is based on lp minimization for 0 < p <= 1. Since it was shown that lp minimization performs better than l1 minimization when there are no large errors, the proposed approach is a natural extension to compressed sensing with corruptions. We provide a theoretical justification of this idea, based on analogous reasoning as in the case when measurements are not corrupted by large errors. Better performance of the proposed approach compared to l1 minimization is illustrated in numerical experiments.

Compressive Sensing ; Sparse Signal Reconstruction ; Nonconvex Optimization ; Restricted Isometry

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Podaci o prilogu

3395-3399.

2014.

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objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 2014 IEEE International Conference on ACoustics, Speech and Signal Processing (ICASSP)

Institute of Electrical and Electronics Engineers (IEEE)

Podaci o skupu

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

poster

04.05.2014-09.05.2014

Firenca, Italija

Povezanost rada

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