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Pregled bibliografske jedinice broj: 696896

Reconstruction of sparse signals from highly corrupted measurements by nonconvex minimization


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)
Firenca, Italija: Institute of Electrical and Electronics Engineers (IEEE), 2014. str. 3395-3399 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Reconstruction of sparse signals from highly corrupted measurements by nonconvex minimization

Autori
Filipović, Marko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 2014 IEEE International Conference on ACoustics, Speech and Signal Processing (ICASSP) / - : Institute of Electrical and Electronics Engineers (IEEE), 2014, 3395-3399

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

Mjesto i datum
Firenca, Italija, 05.05.2014. - 09.05.2014

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

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

Sažetak
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.

Izvorni jezik
Engleski



POVEZANOST RADA


Ustanove:
Institut "Ruđer Bošković", Zagreb

Profili:

Avatar Url Marko Filipović (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada ieeexplore.ieee.org

Citiraj ovu publikaciju:

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)
Firenca, Italija: Institute of Electrical and Electronics Engineers (IEEE), 2014. str. 3395-3399 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Filipović, M. (2014) Reconstruction of sparse signals from highly corrupted measurements by nonconvex minimization. U: Proceedings of the 2014 IEEE International Conference on ACoustics, Speech and Signal Processing (ICASSP).
@article{article, author = {Filipovi\'{c}, Marko}, year = {2014}, pages = {3395-3399}, keywords = {Compressive Sensing, Sparse Signal Reconstruction, Nonconvex Optimization, Restricted Isometry}, title = {Reconstruction of sparse signals from highly corrupted measurements by nonconvex minimization}, keyword = {Compressive Sensing, Sparse Signal Reconstruction, Nonconvex Optimization, Restricted Isometry}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Firenca, Italija} }
@article{article, author = {Filipovi\'{c}, Marko}, year = {2014}, pages = {3395-3399}, keywords = {Compressive Sensing, Sparse Signal Reconstruction, Nonconvex Optimization, Restricted Isometry}, title = {Reconstruction of sparse signals from highly corrupted measurements by nonconvex minimization}, keyword = {Compressive Sensing, Sparse Signal Reconstruction, Nonconvex Optimization, Restricted Isometry}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Firenca, Italija} }




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